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Method and apparatus for cryptographically-assisted commercial network system designed to facilitate and support expert-based commerce

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US20140089176A1
US20140089176A1 US14095876 US201314095876A US2014089176A1 US 20140089176 A1 US20140089176 A1 US 20140089176A1 US 14095876 US14095876 US 14095876 US 201314095876 A US201314095876 A US 201314095876A US 2014089176 A1 US2014089176 A1 US 2014089176A1
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expert
user
end
step
controller
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Abandoned
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US14095876
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Jay S. Walker
Bruce Schneier
James A. Jorasch
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Community United IP LLC
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Community United IP LLC
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    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/22Payment schemes or models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063Operations research or analysis
    • G06Q10/0631Resource planning, allocation or scheduling for a business operation
    • G06Q10/06311Scheduling, planning or task assignment for a person or group
    • G06Q10/063112Skill-based matching of a person or a group to a task
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/08Payment architectures
    • G06Q20/085Payment architectures involving remote charge determination or related payment systems
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/08Payment architectures
    • G06Q20/10Payment architectures specially adapted for electronic funds transfer [EFT] systems; specially adapted for home banking systems
    • G06Q20/102Bill distribution or payments
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/38Payment protocols; Details thereof
    • G06Q20/383Anonymous user system
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce, e.g. shopping or e-commerce
    • G06Q30/02Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce, e.g. shopping or e-commerce
    • G06Q30/06Buying, selling or leasing transactions
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04HBROADCAST COMMUNICATION
    • H04H60/00Arrangements for broadcast applications with a direct linking to broadcast information or broadcast space-time; Broadcast-related systems
    • H04H60/29Arrangements for monitoring broadcast services or broadcast-related services
    • H04H60/33Arrangements for monitoring the users' behaviour or opinions
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04HBROADCAST COMMUNICATION
    • H04H60/00Arrangements for broadcast applications with a direct linking to broadcast information or broadcast space-time; Broadcast-related systems
    • H04H60/56Arrangements characterised by components specially adapted for monitoring, identification or recognition covered by groups H04H60/29-H04H60/54
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television, VOD [Video On Demand]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/258Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
    • H04N21/25866Management of end-user data
    • H04N21/25891Management of end-user data being end-user preferences
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television, VOD [Video On Demand]
    • H04N21/80Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/81Monomedia components thereof
    • H04N21/812Monomedia components thereof involving advertisement data

Abstract

The present invention is an expert matching method and apparatus for managing communications between an expert having particular qualifications and an end user seeking a solution to an expert request. In a preferred embodiment, the apparatus of the present invention includes a controller having a database for storing expert qualifications. In one embodiment, the controller receives an expert request. A search program identifies experts qualified to respond to the expert request. The expert request is then transmitted to the expert, which results in an expert answer transmitted to and received by the central controller. After authentication of the expert answer, using a wide range of security levels from passwords to cryptography, the answer is forwarded to the end user. The method and apparatus of the present invention have applications on the Internet as well as conventional voice telephony systems.

Description

    RELATED APPLICATIONS
  • [0001]
    This application is a continuation application of U.S. patent application Ser. No. 11/423,753 filed Jun. 13, 2006, which is a continuation application of U.S. patent application Ser. No. 09/112,131 filed Jul. 8, 1998 (now U.S. Pat. No. 7,523,045), which is a continuation application of U.S. patent application Ser. No. 08/685,706 filed Jul. 24, 1996 (now U.S. Pat. No. 5,862,223). Each of the above-referenced applications is incorporated by reference herein in its entirety.
  • FIELD OF THE INVENTION
  • [0002]
    The method and apparatus of the present invention relate to electronic commerce applications using digital and analog networks.
  • BACKGROUND
  • [0003]
    Computerized marketplaces of all kinds are well known in the art. They range from simple classified ad bulletin boards to complex mainframe-based market systems such as NASDAQ which offers a real-time market-making system for tens of thousands of securities brokers. All modern stock, bond and commodity exchanges are supported by underlying computerized databases and related systems which enable them to function.
  • [0004]
    Typically, electronic Exchanges are designed to facilitate commercial transactions of tokens of ownership, such as shares of stock, or physical objects such as ounces of gold or a used car. Other Exchanges specialize in the sale of information stored on databases such as that provided by LexisNexis, where users pay fees for accessing articles while content providers are paid per article downloaded. Still other Exchanges provide matching services where each party is seeking an efficient way to find the other, such as might be provided by a dating service or a job bank.
  • [0005]
    Exchanges whose function is to support a marketplace for the buying and selling of consulting services have been few and far between. Since is type of Exchange supports a form of commercial activity which is meant to take place in the future, the Exchange's role is to serve as a structured meeting ground for the negotiation of the service to be provided. However, an Exchange which performs this type of negotiation service creates what has heretofore been considered an unavoidable “man-in-the-middle” problem. In the process of assisting in the negotiation of a consulting contract, one or both parties must first disclose their identity to the other. Thereafter, if commerce appears likely to occur, one party can simply contact the other directly and privately, without the exchange's knowledge, thereby avoiding any costs which might otherwise have been assessed by the Exchange.
  • [0006]
    In the past, attempts have been made to establish so-called “information marketplaces” to overcome this problem by providing a wide range of supplementary services to add value to the role played by the Exchange. The most notable example of the many failed attempts to solve the problem was the American Information Exchange, AMIX, a service which was piloted in 1991 and soon thereafter disbanded by Autodesk Inc., a software development company located in Sausalito, Calif.
  • [0007]
    AMIX's goal was to establish an on-line marketplace for the buying and selling of both information and consulting services where every user could be either a buyer or a seller, with AMIX facilitating transactions between them. The AMIX system required both buyers and sellers to become a member of the service, agree to pay a monthly service fee and then purchase and install a dedicated front-end program. A self-described “electronic farmer's market,” parties could negotiate agreements for the sale of information or consulting services which AMIX organized by topic. AMIX offered to serve as a non-binding mediator should the parties have a dispute and select a binding arbitrator if necessary. The system also intended to serve as a central record keeper and finds transfer point, either for the clearing of credit card charges or disbursements from pre-established accounts which AMIX managed. AMIX offered neither anonymity nor the controlled release of identity. Buyers or sellers who identified each other using the service could then bypass the service, though AMIX charged monthly fees so that the financial impact of such off-exchange activities might be offset. Furthermore, it encouraged both buyers and sellers to post comments about each other so that future buyers and sellers would be able to evaluate the past reputations of one another.
  • [0008]
    To understand the failure of AMIX, and all other prior attempts to create working expert-exchange marketplaces, it is necessary to understand that effective markets, whether they be physical or electronic, require a complete and highly specialized set of conditions in order to function and thrive. A single missing ingredient or feature of service might result in a shortage of either buyers or sellers and lead to the collapse of the Exchange—which needs sufficient quantities of both to continue operation. At the same time, the Exchange must be able to ensure that it can derive sufficient income from the commerce of its activities in order to support the Exchange's cost of operations and make a profit.
  • [0009]
    All successful Exchanges must be able to motivate significant numbers of both buyers and sellers to use the Exchange versus other available market alternatives. Thus, buyers and sellers must 1) have a high expectation of the usefulness of the Exchange which makes them willing to take the time and effort to learn the rules of the Exchange, and, if necessary, become recognized by the Exchange, 2) locate each other on the Exchange at exactly the right time and place, 3) be able to quickly and easily negotiate transaction terms, 4) reach a complete and final agreement where the expectations of the parties are well defined, 5) arrange for acceptable credit terms, 6) deliver the goods or services called for by the agreement, 7) deliver payment when the agreement is fulfilled, 8) rely on the Exchange to enforce the agreement made on the Exchange with certainty of both payment and legal recourse, 9) find the transaction fees reasonable in comparison to alternatives, and 10) have ready access to the market without levels of knowledge and cost of hardware commensurate with the value of the goods or services sold on the Exchange.
  • [0010]
    Traditional real world commerce in expertise or consulting services strongly favors circumstances where both parties are, at least occasionally, in the same place at the same time and can see one another. When there is no face-to-face contact between the parties (relying instead on mail, phone, faxes, etc.) significant burdens and costs are imposed on the parties which reduce the likelihood of expert commerce taking place. This is especially true if the parties are located in different countries where differences in language, customs, legal systems, currencies, etc., must be dealt with. Each added burden dramatically reduces the chances for agreement and increases the difficulty of satisfying all of the previously stated infrastructure conditions. Finally, if one or both of the parties in an on-line transaction is a private party (such as a part-time freelance consultant) with no established organization or commercial resources, the problems can become effectively insurmountable.
  • [0011]
    A hypothetical “worst-case” example illustrates both the range and quantity of problems associated with international consulting where the consultant is a private party. Imagine a professor of nanotechnology at the University of Makinsk, located in Kazakhstan, formerly part of the Soviet Union. Although the professor's teaching schedule keeps him fairly busy, there is not much to do in Makinsk. To relieve the boredom and to supplement his limited salary, he decides the time has come to embrace capitalism by using some of his free time to offer freelance nanotechnology consulting. The professor begins by making a list of what needs to be done before being able to sell his nanotechnology expertise.
  • [0012]
    To begin, how does he locate potential clients? Finding clients is a difficult task for any service professional. It is hard to know who needs their services, especially in a niche field such as nanotechnology. There are less than five hundred people who might want to hire a nanotechnologist and they are all located within a few dozen companies, research labs and government departments scattered around the world. The professor could rent the mailing list of The Nanotechnology Journal and send out promotional mailings, but this would be expensive and time consuming with no guarantee of success. Even more importantly, such a mailing is unlikely to reach a potential client at the exact moment which the client needs nanotechnology consulting services. Though the professor has some contacts, most of his potential customers are unknown to him, as he is to them. Personal solicitations might be more appropriate, but many of the barriers to commerce remain, including potentially insuperable language barriers. And, once he somehow identifies potential clients, how does he contact them? By mail, by phone, by e-mail? If so, how will potential clients respond to those contacts and where should they send any written materials? He cannot receive them at work and home mail delivery is notoriously unreliable in Makinsk.
  • [0013]
    Finding a potential client is just the beginning of the process, as the professor and client must now synchronize their schedules. The professor recognizes that he must arrange for freelance work which fits around his other teaching and research commitments. Without an assistant or secretary to arrange the work times, the professor is forced to manage the naturally iterative process of scheduling the work. What the professor really needs is a client whose needs precisely fit his requirements so that he can concentrate on providing the consulting, not scheduling it. His free time occurs normally on weekends and late at night, though his night availability varies widely depending on department functions and projects. Can he find work he could do on Saturday nights from 9:00-11:30 PM local time? If there are large ongoing client projects that need to be done, can he deliver his consulting in small chunks? Suppose he had thirty minutes to spare between classes every Wednesday. Could he locate a client project that required just twenty or thirty minutes to finish each week, like grading nanotechnology exams taken at some faraway university? Suppose the professor finds himself with unexpected extra time. Are there clients somewhere in the world whose time requirements can offer him projects on short notice? For example, if he didn't expect to have free time this evening, and things suddenly changed, could he possible find a client in the next few hours? How about in the next few minutes? Suppose he were willing to work at half his regular rate to compensate for the short notice?
  • [0014]
    Once the professor finds a client whose needs match the professor's timing constraints, how does he quickly and effectively establish his credentials? Though the professor is highly talented, he is still a relative unknown. The likelihood is that the client has only vaguely heard of the professor and his work. Does he mail potential clients copies of his diplomas and his PhD thesis? How will the client be certain that the information is authentic or will the client have to spend time and money to carefully check out the professor's credentials before going any fiber? Perhaps he should provide references. If so, is there any way that a potential client can quickly check those references without delaying the whole process and thus missing the window of opportunity for work that is needed right away? How can the professor demonstrate that he is capable of answering a potential client's questions without personally meeting with the client's engineers and scientists? He could mail out academic papers, but they might take weeks to arrive via international mail. There is of course also no guarantee that the client can read Russian, though the professor speaks fluent English. If he is competing with other nanotechnologists for a given assignment, how does he prove that he is not only the superior choice for the client but that he is willing to negotiate a price for his services that is at least 75% less expensive than his comparable competition in the West?
  • [0015]
    Once a deal is struck, how will the consulting work be delivered to the client? Mail is too slow and Federal Express doesn't serve Makinsk. The work could be sent by e-mail, but nanotechnology consulting is usually confidential in nature. Furthermore, assuming the work is delivered by some kind of encrypted e-mail, how can the professor get a bona fide receipt indicating that the work was actually received by the client?
  • [0016]
    Credit, payment and currency problems make the professor's consulting business even more difficult to get off the ground. If the professor is fortunate enough to locate a client, establish his credentials, agree on a specific job to be done and the price to be paid, how can he be sure that he is actually going to get paid if he delivers satisfactory work. There are many unscrupulous nanotechnology companies that have been known to prey on ex-communist scientists in the former USSR. These companies either don't pay their bills or claim that the work provided was inferior and not at all what was promised. He can't get paid some part in advance, can he? Even if he extends credit to a specific client, how does the professor arrange for payment when the work is complete? He doesn't take credit cards and he certainly doesn't want to trust the Kazakhstan mail system to handle envelopes stuffed with cash. He has a small savings account at the First National Bank of Makinsk, but depositing checks from foreign accounts is viewed with suspicion and all such checks are subject to long delays and surcharges. What's more, the professor wants any payment he receives to be denominated in dollars or German marks. If he performs work for a French company, how will that company arrange to make the payment to the professor in dollars or marks? And, what happens if the client refuses to pay? Is there any recourse available other than writing the client off and never working for that client again?
  • [0017]
    Finally, suppose it the professor figures out how to do everything necessary to become a successful consultant. There's just one more thing he wants to achieve. He wants to be able to begin work for a client without revealing his identity to the client. (He may be willing to reveal his identity only after his working relationship is well established and the parties have grown comfortable with each other.) He is very concerned that if his department chairman finds out that he's doing corporate consulting, he might require that the professor give all or part of any foreign currency earnings to the university—no matter that the work was done during off hours. Even worse, the chairman could view the foreign consulting as a threat to his power and either fire the professor for unauthorized activities or forbid him from doing any freelance work, insisting that any such work must be done only by the chairman.
  • [0018]
    Supporting either all or partial anonymity in expert-based commerce, where at least one party is a private individual, currently presents almost insurmountable challenges. Communication by either standard mail or e-mail is difficult since known addresses are required. The professor could leave his name off the return address or use a false name, but the professor's identity might be easily deduced. Incoming mail from a foreign corporation might result in questions from university officials. Anonymous remailers on the Internet could be used if the work is done entirely in digital form, but what foreign company will hire an expert consultant whose name and address they don't even know? Even if anonymity were preserved, collecting payment while remaining anonymous is probably impossible without using cash which is impractical and often dangerous. And, if the professor wants to provide a client with his diplomas, published academic papers or previous client work as credentials, there is simply no way to maintain his anonymity unless he can find a third party trusted by the client who will vouch for the professor's skill while at the same time concealing his identity.
  • [0019]
    Yet, with all these hurdles, there is a strong case to be made that as tens of millions of businessmen, government officials, academics and ordinary consumers interact with each other more and more via on-line networks, and since physical distance barriers are meaningless in cyberspace, the demand for worldwide commerce in expert services will grow exponentially in the years ahead. What is needed to unlock this growth is a universally accessible facilitating system which is designed to specifically handle the buying and selling of expert services, as opposed to selling information or simply providing an electronic farmer's market. Much as computerized stock markets were invented that could seamlessly and effortlessly handle transactions of billions of shares of equities, bonds and financial instruments every day, there exists a need for expert-based markets where human experts can reliably sell their services to clients they have never met, utilizing a structured, organized system that facilitates and supports the infrastructure needed for expert commerce. What's more, such an expert market system should allow for entirely new features and qualities of service that were heretofore not possible before the rise of computers, databases and the ubiquitous Internet with its related on-line networks.
  • [0020]
    Furthermore, though the example of the professor of nanotechnology describes a seller-driven protocol whereby the expert consultant seeks to find and sell appropriate clients, it is equally logical to use the inventive system for buyer-driven applications whereby clients who need to locate and retain appropriate expert consultants can do so on an efficient, ad hoc basis.
  • [0021]
    The applicant is unaware of the existence of any such commercially viable expert exchange which contains the features described above. Therefore, it is an object of the present invention to provide an efficient method of locating and matching remote qualified experts (“experts”) to customers (“clients”) who need their expertise by the method and apparatus of the present invention and where The invention addresses the market mechanisms needed that prior inventions have failed to offer. Another object of the present invention is to locate qualified experts even if they are not currently registered with the Exchange. Another object of the present invention is to provide an asynchronous device and system for connecting the client with the expert, transmitting job requests from client to expert. A further object of the present invention is to authenticate the qualifications of the experts. A still further object of the present invention is to allow clients to review prior work produced by an expert. Another object of the present invention is to provide a reliable method for the expert to be paid by the client where such a method can accommodate a plurality of payment systems that may occur independently of the details of the actual payment service being used in a manner that is transparent to both the client and the expert. Another object of the present invention is to enable the expert to be assured of payment for services by the Exchange if the client does not pay for such services. Yet another object of the present invention is to allow for the Exchange to verity a client's ability to pay prior to delivering the completed analysis, or to allow clients to set up escrow accounts for payment. A still further object of the present invention is to allow the client to choose from a list of experts in a field and select a particular expert to provide service, where such service is in the form of expert advice or judgment. A further object of the present invention allows for a user to search a database of experts where the identities of the experts are concealed from the user, but the user may search a database of those experts by certain characteristics and may optionally communicate with those experts without knowing their identity. A further object of the present invention is to provide a real-time connection between the client and the expert during which negotiations can take place or during which advice or judgment can passed between the parties.
  • [0022]
    Another object of the present invention is to provide a way for clients to have experts evaluate their work. Another object of the present invention allows students to be graded by multiple evaluators. Another object of the present invention is to allow both the client and the expert to remain anonymous while practicing the invention. Another object of the present invention is to allow clients and experts to verify information that is accessible or communicated as part of practicing the invention. Another object of the present invention is to verify the client's or expert's identity and the client's ability to pay for services. Another object of the present invention is to allow for impartial dispute resolution regarding any dispute which arises from the practice of the invention. Another object of the present invention is to allow the expert to be paid for services immediately upon delivery of work contracted for while practicing the invention. Yet another object of the present invention is the ability to verify that communications occurring while practicing the invention have not been tampered with or altered during communication. A still further object of the present invention is to provide a marketplace for any party practicing the invention to either bid on services or to reach an agreement regarding a transaction for such services as the parties may desire. Another object of the present invention is to provide a method for clients to verify the quality of expert answers. Yet another object of the present invention is to provide access to the Exchange without the need for proprietary software.
  • BRIEF SUMMARY OF THE INVENTION
  • [0023]
    In a preferred embodiment, the present invention provides a method and apparatus for an expert seeking to sell his services to more efficiently find a client, allow the client to certify and authenticate the expert's qualifications, allow the client to hire the expert under specific terms and conditions for a specific assignment, and, if desired by either party, have the service provider guarantee payment to the expert for the expert services to be provided while also guaranteeing the buyer's satisfaction with the expert service. The present invention improves the expert's ability to efficiently provide expert services and the buyer's ability to find experts capable and willing to furnish such services at a mutually agreed price and terms. A valuable application of this service is providing answers to questions that require human judgment or analysis. The system provides a simple way for users to find qualified experts to give them professional advice.
  • [0024]
    In one embodiment of this invention, a person (“end user”) who requires information from an expert accesses an on-line Exchange located at a remote server. The Exchange verifies the user's identification and account status and allows the user to produce a job request suitable for consideration by an expert. The job request includes a full description of the job to be performed, a range of money the user is willing to spend, how quickly he needs the answer, and any other information necessary to respond to the request. For example, a typical job request might be: “Attached is the text of a letter which may have been written by Catherine the Great. No later than 2:00 PM, Saturday. Jul. 20, 1996 I would like an expert in Russian history to review the letter and provide me with a detailed opinion of at least 1,000 words on whether Catherine the Great was indeed the author, and if not, who is most likely to have been the author.” The user can also select “Russian history” from a “subject menu”, “fifty to one hundred dollars” from the “price menu,” “2:00 PM, Saturday, Jul. 20, 1996” from the “time to complete menu” and “5:00 PM, Friday, Jul. 12, 1996” from the “deadline for submitting bids” menu. The user attaches the text of the letter and e-mails the job request to the Exchange which begins the process of locating a qualified expert.
  • [0025]
    Once the job request has been sent, the end user waits to receive any bids by the bid deadline specified. As soon as the central controller at the Exchange receives the complete job request, it first searches its proprietary database of Russian history experts. Then, if additional experts are likely to be needed, it activates a search program designed to access and interrogate outside databases of known experts who might be qualified to handle the job request. This outside database search could be done using conventional paper-based directories (such as the American Medical Association's American Medical Directory which lists the doctor's educational background and any board-certified specialty), or with electronic directories available online (such as the Martindale-Hubbell Law Directory which contains entries for lawyers and law firms in the United States as well as over 140 foreign countries). In the example above, college course catalogs can be searched for an authority on late 18th century Russia, with special knowledge of Catherine the Great. Once one or more suitable experts are identified, the Exchange sends a message to the expert (e-mail, fax, beeper, phone, etc.) briefly describing the job request and asking the expert if he might be willing to consider bidding on the assignment by 5:00 PM, Friday, Jul. 12, 1996. The name of the client is not revealed. If the expert answers that he might be interested, and the user has placed no pre-qualification restrictions on who can see the job request, the full text of the job request without the user's name or address is forwarded to the expert with a request that he respond with a bid by the bid deadline. Alternatively, the user is notified of each expert's interest and is offered the opportunity to review the expert's qualifications prior to the Exchange sending out the full job request.
  • [0026]
    If, after reviewing the full job request, an expert is willing to do the job, he submits a formal offer of service, essentially his bid for the job. This bid may also include his particular qualifications for the job and any special conditions which he might require be incorporated before accepting the assignment. These bids are then forwarded to the user who can then decide which experts, if any, he will hire. The end user may also simply have the Exchange select the first bid that fulfills the qualifications for the job. Alternatively, no bid may be acceptable and he may want to continue to negotiate with certain experts. In an effort to minimize off-exchange contact prior to a deal being reached, the user will typically know the experts' names but not their locations or phone numbers. (If a user ultimately does not select a candidate using the Exchange, and does not subsequently use the Exchange for a similar job within a certain number of days, he may be charged a usage fee as a percentage of the total job value or on a fixed fee basis.) The user sends a binding acceptance notification to the Exchange for each expert to be hired. The Exchange in turn notifies the expert(s) that they have been hired and the terms under which the offer of service was accepted.
  • [0027]
    In another embodiment, candidate experts submit detailed applications to the Exchange in advance of receiving any job requests, providing detailed qualifications in one or more areas of expertise along with third party references. Each application is reviewed by a certification committee familiar with the subject area(s) being applied for, and the candidate is either accepted or rejected as a qualified expert. Once the Exchange contains enough experts in a given subject, each new application may be reviewed by other experts who are already members of the Exchange. This provides a basis for peer review that can be used to maintain assurance of qualifications.
  • [0028]
    Once an expert is accepted, he is added to the expert database maintained by the Exchange. When an expert is available to answer a question, he logs-in to the Exchange and provides his expert ID. The Exchange then routes any pertinent open job requests to the expert for consideration. When the expert indicates interest in an open job request, he notifies the Exchange and is provided the full request. The expert then formulates his bid, if any, digitally signs it, and e-mails it to the Exchange. Alternatively, the expert may remain off-line, with the Exchange notifying him via mail, fax, beeper, or telephone that there is an open job request for his consideration.
  • [0029]
    When a job is complete, the expert notifies the Exchange and requests payment. The Exchange verifies that the client is satisfied and executes the prearranged billing methodology between the parties. The Exchange may be holding full or partial payment in escrow which is then released. In the event that the user does not pay for the service provided, the Exchange absorbs the cost of this bad debt.
  • [0030]
    There are several variations of the present invention that allow for different levels of service, security and communication confidentiality and privacy. One such example is the ability for the user to select from a particular list of experts prior to submitting his request. In this way, the user can select and review the qualifications of the experts and choose the expert or experts that he feels most comfortable with. Using the example above, the user can look through all the historians, searching for one with the most relevant expertise on Catherine the Great. The user can look for historians in a particular subject, or historians with a given amount of experience. He can also review a complete profile of the historian, including journal articles or samples of previous client work. The user might also communicate to the Exchange using encrypted transmission and require that all communication about the job to potential experts also be encrypted to prevent unwanted parties from reviewing the job request materials. (If it were known that a manuscript possibly penned by Catherine the Great had been recently discovered, the market for other Russian manuscripts might be affected.)
  • [0031]
    Another embodiment of the present invention allows the expert and the user to communicate directly once they are put in contact with each other through the Exchange. This allows the user to receive real-time feedback on requests. For example, once the user has asked about an article and the expert has responded, the user may have more questions about the expert's comments. In a synchronous communication system, the user is able to ask as many follow-up questions as necessary. One way to achieve this is through a standard telephone connection. The Exchange can set up a time to contact the user and expert and call them both to connect them. It is ideally suited to bill the user for the amount of phone time connected, thus making it possible to support an ad hoc pay-per-minute service between two parties, one or both of whom may not know the identity of the other party. Such synchronous communications may also take the form of digital text transmitted between expert and user.
  • [0032]
    The present invention is also valuable because it facilitates a universally applicable payment protocol for the expert providing advice. In one embodiment, the present invention provides experts immediate payment for services rendered with almost no overhead. The expert does not have to be a bank-approved merchant to process credit card orders, deal with personal checks, cash, or non-payment issues. This allows the expert to maximize his earning potential by focusing on providing quality service.
  • [0033]
    In another embodiment of the present invention the Exchange manages the billing and payment system automatically. The end user's ability to pay for services is verified prior to the request reaching the expert. In order to receive service, the user must have a credit card, debit card, checking or savings account, or other certified electronic funds available. When a request for services is submitted, the Exchange verifies the end user's balance and refuses to submit the request if the user cannot pay. Once the expert responds to the request, the user's account is immediately debited for the expert's fee.
  • [0034]
    In yet another embodiment of the present invention, a grading application is provided. A student looking to improve the quality of his work can send an expert evaluation request to the Exchange. This request includes a copy of the work to be evaluated, such as a book report, biology paper, or set of math questions. The Exchange finds experts to evaluate the work and respond with feedback. For example, if a student is writing a report on Hamlet, the Exchange could find an expert on Shakespeare to evaluate the report. As always, the expert would be paid accordingly for his services.
  • [0035]
    It is also possible for teachers and professors to take advantage of the service. The homework and reports submitted to a teacher for grading, for example, can be distributed to experts via the Exchange, a kind of digital piecework. A math teacher might have one hundred math tests to grade. The tests are divided up into groups of twenty and distributed among five certified math experts to be evaluated and returned in forty-eight hours. The students' work is sent to the Exchange electronically or via fax for distribution. The teacher can specify the grading methods to be used and the correct answers to the questions. Once the tests are evaluated and returned to the Exchange by the experts, the Exchange reassembles them into one transmission and sends them back to the teacher. The experts are then paid for their services.
  • [0036]
    The ability to provide anonymity to the end user and expert is another advantage of the present invention. The Exchange can provide full or partial anonymity (e.g., providing no information about the expert, or representing only that he is a member of a specific professional organization) because it acts as a trusted third party messenger between the two parties. It can conceal the identity of both people using very simple or very complex techniques depending on the level of security required.
  • [0037]
    There are many situations where the end user might not want his identity to be compromised. For example, a company president might want to find out information on how the public sees his company. The president would certainly like honest answers and would like to remain anonymous when making the request. Likewise, an expert who uses the products might not want the company to know his identity because he does a lot of business with the company. In a criminal investigation, the expert witness may not want to reveal his identity for fear of being threatened by the accused. Also, people who have committed a crime might seek legal or moral advice from outside experts.
  • [0038]
    In other cases, the service itself may want to intentionally withhold the identity of one or both parties to a potential transaction in order to assure that it will be paid for its having brought the parties together. Once one or both parties are able to contact each other outside the service's view, the service has no way to know whether the transaction was consummated privately.
  • [0039]
    Authentication of the user and the expert is also a benefit of the present invention. Using cryptography and biometrics, the Exchange can authenticate the identity of the parties. The algorithms used can also verify that the expert response and ID have not been tampered with after the response has been sent to the Exchange. Digital signatures, for example, provide both message integrity and authentication of authorship.
  • [0040]
    The present invention also allows for a viable “expert service market” by enabling both users and experts to bid on services. An electronic auction can be implemented which allows users to bid for an expert's time, experts to bid on user requests, and users and experts to negotiate on the price of services. Such services could be sold on a prepaid basis where the expert agreed to provide a certain number of hours of real-time consulting where such consulting was performed through a connection monitored by the Exchange for purposes of accounting and tracking.
  • [0041]
    In another embodiment of the present invention a quality monitoring feature is provided. If the user is dissatisfied with a response, the Exchange forwards the request and the response to another qualified expert for review. This peer review either accepts or rejects the response, and appropriate action is taken. For example, if the response is accepted, the end user is notified that the response is correct and accurate. If the response is rejected, the end user is refunded or offered an alternate expert, and the expert is notified that his response was inadequate.
  • [0042]
    The present invention enjoys the advantage of not requiring proprietary software. Any communications tool that conforms to the standards published by the Exchange is capable of using the service. Simply reaching the service's website on the Internet, for example, allows for any person capable of receiving e-mail to use the service. Standardized encryption techniques, including public key protocols can be used to ensure privacy and message integrity. Furthermore, since the service is designed to reach out and find experts, a party can use the service and be paid in digital cash or wire transfer without ever having first registered with the service in any way.
  • [0043]
    It is the goal of the present invention to provide a robust system which matches users' requests with expert answers. The invention provides various methods of communication, commerce and security for the expert and the end user. The power of a central controller at an Exchange to maintain billing, collection, authentication and anonymity makes the present invention an improvement over conventional systems which do not have such an arrangement of elements. By combining various arrangements of these elements into one system, the present invention makes the finding, selling and transferring of expert advice fast, simple, efficient and market competitive.
  • Applications of the Invention
  • [0044]
    In order to clarify the application of the present invention, the following examples demonstrate potential needs of end users.
      • 1. I want a draft of an academic paper on quantum mechanics reviewed anonymously by three qualified academics not located in the U.S. The answers, which are due by July 15, should be at least 500 words and must explain the three points with which the reviewers most agree and disagree.
      • 2. I am a businessman in the steel salvage business with a question as to how to handle a personnel problem. I would like my question answered by a personnel professional at a Fortune 1000 company who is not in the steel business and who has dealt with the same or similar problem at least five times in their own company and can thus give me a range of possible results based on his own experience. I am willing to pay $100 for answers of at least 250 words. Anonymity is acceptable, but I will pay an extra $100 if the professional is identified to me, and I am allowed to call the professional in his off hours.
      • 3. I am an attorney who is seeking other businesses who have had a problem with the XYZ company's plastic products. I will pay $50 for each documented example of problems you have experienced first hand, up to a maximum of 100 cases.
      • 4. I am looking to decode a hieroglyphic unearthed on a site in Israel. I will pay $50 for each solution of at least 10 words, and $500 for the complete solution. Answers will be accepted from four candidates who send me their credentials.
      • 5. I have 1,000 English literature final exams that I need graded. Each exam is composed of ten short essay questions. Tests and answers can be e-mailed to you in groups of twenty exams, and must be graded and returned via e-mail no later than Jun. 10, 1997. I will pay $2.00 per graded exam. Graders must be practicing English teachers at the college level and follow the grading guidelines which will be sent to you.
      • 6. To all people who have eaten at my restaurant, I will pay you $5.00 for a 100 word description of how to improve my service or my menu. (Limit 50 people.)
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • [0051]
    FIG. 1 illustrates a first embodiment of the present invention.
  • [0052]
    FIG. 2 is a block diagram showing one embodiment of the central controller.
  • [0053]
    FIG. 3 illustrates an embodiment in which the computing resources of the central controller are distributed over a number of servers.
  • [0054]
    FIG. 4 is a block diagram showing an exemplary expert interface.
  • [0055]
    FIG. 5 is a block diagram showing an exemplary user interface.
  • [0056]
    FIG. 6 illustrates an embodiment showing how an end user request is generated.
  • [0057]
    FIG. 7 illustrates an embodiment showing the initial processing of an end user request.
  • [0058]
    FIG. 8 illustrates one embodiment of transmitting the end user request to the appropriate experts.
  • [0059]
    FIG. 9 illustrates an embodiment showing the development of an expert answer.
  • [0060]
    FIG. 10 illustrates an exemplary embodiment for compensating experts and billing end users.
  • [0061]
    FIG. 11 illustrates an exemplary compensation method employing credit card payment.
  • [0062]
    FIG. 12 illustrates an exemplary compensation method employing bank checks.
  • [0063]
    FIG. 13 illustrates an exemplary compensation method employing electronic fund transfers.
  • [0064]
    FIG. 14 illustrates an exemplary compensation method employing the transfer of digital cash.
  • [0065]
    FIG. 15 illustrates an exemplary embodiment for allowing end users to select experts.
  • [0066]
    FIG. 16 illustrates an exemplary embodiment of how experts receive and respond to end user requests after being selected by users.
  • [0067]
    FIGS. 17, 18, 19, and 20 illustrate an exemplary embodiment for synchronous communications between an expert and an end user.
  • [0068]
    FIG. 17 illustrates an embodiment where the end user connects to an online service and is assigned a message window.
  • [0069]
    FIG. 18 illustrates an embodiment of the end user interacting with a message window.
  • [0070]
    FIG. 19 illustrates an embodiment showing how the expert connects to an online service and enters a message window.
  • [0071]
    FIG. 20 illustrates an embodiment of the expert interacting with a message window.
  • [0072]
    FIGS. 21, 22, 23, and 24 illustrate an exemplary embodiment for grading exams of the present invention.
  • [0073]
    FIG. 25 illustrates an exemplary authentication process using symmetric keys.
  • [0074]
    FIG. 26 illustrates an exemplary authentication process using asymmetric keys.
  • [0075]
    FIG. 27 illustrates an exemplary authentication process using digital signatures.
  • [0076]
    FIG. 28 illustrates an exemplary authentication process using hash functions.
  • [0077]
    FIG. 29 illustrates an exemplary embodiment using anonymous mix.
  • [0078]
    FIGS. 30, 31, 32, and 33 illustrate an exemplary embodiment of how end users and experts may negotiate during their transactions.
  • [0079]
    FIGS. 34 and 35 illustrate an exemplary embodiment of the quality assurance feature of the present invention.
  • DETAILED DESCRIPTION OF THE INVENTION
  • [0080]
    The method and apparatus of the present invention will now be discussed with reference to FIGS. 1, 2, 3, 4, and 5. In a preferred embodiment, the present invention includes end user interface 500, central controller 200, associated databases, and expert interface 400. The present invention identifies the appropriate expert, supervises the distribution of requests to the appropriate experts, and supplies timely answers to the end user. Thus, a person looking for expert knowledge can receive it in a simple, cost and time effective manner.
  • System Architecture
  • [0081]
    The system architecture of a first embodiment of the apparatus and method of the present invention is illustrated with reference to FIGS. 1 through 5. As shown in FIG. 1, the apparatus of the present invention comprises expert interface 400, central controller 200, and end user interface 500 (collectively the “nodes”). Each node is connected via an Internet connection using a public switched phone network 110, such as those provided by a local or regional telephone operating company. Connection may also be provided by dedicated data lines, cellular, Personal Communication Systems (“PCS”), microwave, or satellite networks. Expert interface 400 and user interface 500 are the input and output gateways for communications with central controller 200.
  • [0082]
    Using the above components, the present invention provides a method and apparatus to receive questions or inquiries requiring judgmental analysis, identify qualified experts, transmit such inquiries to them, and forward corresponding answers to the end user. Through the method and apparatus of the present invention, end users can efficiently select the qualifications of the experts, and receive verification of the experts' qualifications.
  • [0083]
    As shown in FIG. 2, central controller 200 includes central processor (CPU) 205, cryptographic processor 210, RAM 215, ROM 220, payment processor 230, billing processor 225, clock 235, operating system 240, network interface 245, and data storage device 250.
  • [0084]
    A conventional personal computer or computer workstation with sufficient memory and processing capability may be used as central controller 200. In one embodiment it operates as a web server, both receiving and transmitting data inquiries generated by end users. Central controller 200 must be capable of high volume transaction processing, performing a significant number of mathematical calculations in processing communications and database searches. A Pentium microprocessor such as the 1100 MHz P54C, commonly manufactured by Intel Inc., may be used for CPU 205. This processor employs a 32-bit architecture. Equivalent processors include the Motorola 120 MHz PowerPC 604 or Sun Microsystem's 166 MHz UltraSPARC-I.
  • [0085]
    An MC68HC16 microcontroller, commonly manufactured by Motorola Inc., may be used for cryptographic processor 210. Equivalent processors may also be used. This microcontroller utilizes a 16-bit multiply-and-accumulate instruction in the 16 MHz configuration and requires less than one second to perform a 512-bit RSA private key operation. Cryptographic processor 210 supports the authentication of communications from both the experts and end users, as well as allowing for anonymous transactions. Cryptographic processor 210 may also be configured as part of CPU 205. Other commercially available specialized cryptographic processors include VLSI Technology's 33 MHz 6868 or Semaphore Communications' 40 MHz Roadrunner284.
  • [0086]
    Referring again to FIG. 2, billing processor 225 and payment processor 230 comprise conventional microprocessors (such as the Intel Pentium), supporting the transfer and exchange of payments, charges, or debits, attendant to the method of the apparatus. Either processor (225 or 230) may also be configured as part of CPU 205. Processing of credit card transactions by these processors may be supported with commercially available software, such as the Secure Webserver manufactured by Open Market, Inc. This server software transmits credit card numbers electronically over the Internet to servers located at the Open Market headquarters where card verification and processing is handled. Their Integrated Commerce Service provides back-office services necessary to run Web-based businesses. Services include online account statements, order-taking and credit card payment authorization, credit card settlement, automated sales tax calculations, digital receipt generation, account-based purchase tracking, and payment aggregation for low-priced services.
  • [0087]
    Data storage device 250 may include hard disk magnetic or optical storage units, as well as CD-ROM drives or flash memory. Data storage device 250 contains databases used in the processing of transactions in the present invention, including expert database 255, end user database 260, end user request database 265, expert answer database 270, payment database 275, billing database 280, expert qualifications database 285, and cryptographic key database 290. In a preferred embodiment database software such as Oracle7, manufactured by Oracle Corporation, is used to create and manage these databases.
  • [0088]
    Expert database 255 maintains data on the experts, including name, address, private key information, email addresses, physical addresses, payment preferences, rates, availability standards, voice mail addresses, expert profile 155, biographies, past expert answers 130, and respective subject areas of expertise. Expert profile 155 includes automatic bid amounts, minimum completion times, acceptable price ranges, and the like. Expert database 255 includes rating information generated by end users, as well as expert address 145, which is used to direct communications to the expert. Expert address 145 comprises a phone number, web page URL, bulletin board address, pager number, telephone number, email address, voice mail address, facsimile number, or any other way to contact the expert. Expert database 255 also stores all bid requests 160 and bid offers 165 generated by the expert. Advertising data generated by the expert may also be stored in this database.
  • [0089]
    End user database 260 maintains data on end users, such as name, address, phone number, ID number, email address, payment preferences, past system usage, private key information, etc. It also contains end user profile 150, which stores preferences for required response time, acceptable qualification levels, acceptable price levels, automatic bid amounts, and the like. It also contains copies of each bid request 160 and bid offer 165 generated by the end user.
  • [0090]
    End user request database 265 includes all end user requests 120 received by central controller 200, indexed by subject. A unique tracking number is also stored for each end user request 120. End user request database 265 also stores the grading request 125, which is a set of questions and answers generated in the grading embodiment. All requests 115 are also stored in this database.
  • [0091]
    Expert answer database 270 archives all expert answers 130 received by central controller 200. This database is indexed by expert answer 130 tracking number.
  • [0092]
    Payment database 275 and billing database 280 track all commercial transactions, as well as payment and billing preferences. These databases are valuable in the event of complaints by both end users and experts regarding payment, because an audit trail can be produced.
  • [0093]
    Expert qualifications database 285 maintains expert qualifications 140 on the expert's professional, academic, and industry qualifications, such as licenses, degrees, publications, experience, certifications, professional education, skill sets, languages, location, response times, rates, resume, etc. These qualifications may be stored in multimedia form (e.g. text, video, audio) and transmitted to end users looking for further qualification data about an expert. In an alternative embodiment, expert qualifications database 285 and expert database 255 can be combined into a single database.
  • [0094]
    In order to facilitate cryptographic functions, there is cryptographic key database 290 which stores both symmetric and asymmetric keys. These keys are used by cryptographic processor 210 for encrypting and decrypting all end user requests 120 and expert answers 130, as well as message traffic such as bid amounts or offers and acceptances of work. Audit database 295 stores transactional information that may be retrieved for later analysis. Text data from chat rooms might be stored in this database, for example, so that end user complaints about service can be independently verified.
  • [0095]
    Network interface 245 is the gateway to communicate with end users and experts through respective end user interface 500 and expert interface 400. Conventional internal or external modems may serve as network interface 245. Network interface 245 supports modems at a range of baud rates from 1200 upward, but may combine such inputs into a T1 or T3 line if more bandwidth is required. In a preferred embodiment, network interface 245 is connected with the Internet and/or any of the commercial online services such as America Online, CompuServe, or Prodigy, allowing end users access from a wide range of online connections. Several commercial email servers include the above functionality. NCD Software manufactures “Post.Office”, a secure server-based electronic mail software package designed to link people and information over enterprise networks and the Internet. The product is platform independent and utilizes open standards based on Internet protocols. Users can exchange messages with enclosures such as files, graphics, video and audio. The system also supports multiple languages. Alternatively, network interface 245 may be configured as a voice mail interface web site, BBS, or email address.
  • [0096]
    While the above embodiment describes a single computer acting as the central controller, those skilled in the art will realize that the functionality can be distributed over a plurality of computers. In another embodiment, central controller 200 may be configured in a distributed architecture, as shown in FIG. 3, wherein the databases and processors are housed in separate units or locations. Controllers 320 through 340 perform the primary processing functions and contain at a minimum RAM, ROM, and a general processor. Each of these controllers is attached to WAN hub 300 which serves as the primary communication link with the other devices. WAN hub 300 may have minimal processing capability itself, serving primarily as a communications router. Although only three controllers are shown in this embodiment, those skilled in the art will appreciate that an almost unlimited number of controllers may be supported. In such a configuration, each controller is in communication with its constituent parts, but the processor and/or data storage functions are performed by stand-alone units. Payment processor and database 350, billing processor and database 360, and expert/end user database 370 all communicate through WAN hub 300 with controllers 320 through 340. This arrangement yields a more dynamic and flexible system, less prone to catastrophic hardware failures affecting the entire system.
  • [0097]
    FIGS. 4 and 5 describe expert interface 400 and end user interface 500, respectively. In an exemplary embodiment they are both conventional personal computers having an input device, such as a keyboard, mouse, or conventional voice recognition software package; a display device, such as a video monitor; a processing device such as a CPU; and a network interface such as a modem. Alternatively, expert interface 400 and end user interface 500 may also be voice mail systems, or other electronic or voice communications systems. As will be described further in the following embodiments, devices such as fax machines or pagers are also suitable interfaces.
  • [0098]
    Referring now to FIG. 4, there is described expert interface 400 which includes central processor (CPU) 405. RAM 410, ROM 415, clock 420, video driver 425, video monitor 430, communication port 440, input device 445, modem 450, and data storage device 460. Cryptographic processor 435 and biometric device 455 may be added for stronger authentication as described later.
  • [0099]
    A Pentium microprocessor such as the 100 MHz P54C described above may be used for CPU 405. Clock 420 is a standard chip-based clock which can serve to timestamp expert answers 130 produced with expert interface 400. Modem 450 may not require high speed data transfer if most expert answers 130 produced are text-based and not too long.
  • [0100]
    If a cryptographic processor is required, the MC68HC16 microcontroller described above is used. The structure of biometric device 455 will be described below in conjunction with the cryptographic authentication embodiment.
  • [0101]
    Data storage device 460 is a conventional magnetic based hard disk storage unit, such as those manufactured by Conner Peripherals. Information storage database 470 may be used for archiving expert answers 130, while audit database 480 may be used for recording communications with central controller 200 as well as payment records.
  • [0102]
    Referring now to FIG. 5, there is described end user interface 500 which includes central processor (CPU) 505, RAM 510, ROM 515, clock 520, video driver 525, video monitor 530, cryptographic processor 535, communication port 540, input device 545, modem 550, and data storage device 560. All of these components may be identical to those described in FIG. 4.
  • [0103]
    There are many commercial software applications that can enable the communications required by expert interface 400 or end user interface 500, the primary functionality being message creation and transmission. Eudora Pro manufactured by Qualcomm Incorporated, for example, provides editing tools for the creation of messages as well as the communications tools to route the message to the appropriate electronic address.
  • Asynchronous Communications Embodiment
  • [0104]
    In one embodiment of the present invention, communications between end users and experts take place asynchronously. The end user creates an end user request 120, transmits it to central controller 200, and then disconnects from the network. The expert generates an expert answer 130, transmits it to central controller 200, which then transmits it to the end user. The end user and expert do not communicate in real time.
  • [0105]
    With reference to FIG. 6, there is described the process by which the end user formulates end user request 120. The end user first creates a request 115 at step 600, such as a question which requires human judgment, evaluation, analysis, etc. A small business owner, for example, might want to learn new strategies for lowering his tax bill. Multiple questions may also be bundled into one request 115. At step 610, the end user converts request 115 into electronic format, if necessary. Once converted, the end user attaches his name or a unique user ID number to request 115 at step 620. This ID number is received from central controller 200 when the end user registers for the service, or is chosen by the end user and then registered with central controller 200 by phone. Central controller 200 maintains a database of end user ID numbers in end user database 260, and issues (or allows) only unique numbers. If less security is required, the user's telephone number could serve as the ID number since it has the advantages of being both unique and easily remembered.
  • [0106]
    At step 630, the end user attaches criteria 117 to request 115. At step 640, both the user ID and criteria 117 are combined with request 115, producing a complete end user request 120. As shown at step 635 in FIG. 6, criteria 117 include at least one of the following: price, time frame required for answer, qualifications of the expert, subject, geographic location, etc. This information is used by central controller 200 to route end user request 120 to experts meeting criteria 117. Criteria 117 are searchable; thus central controller 200 searches expert database 255 for appropriate experts to answer end user request 120 based on criteria 117. Criteria 117 will typically describe the required subject area of the expert, as well as the level of expertise necessary to answer end user request 120. Sample subject areas include medicine, law, mathematics, car repair, multimedia editing, etc. Within a given subject there may be many levels, such as ten levels of car repair expertise. There may be a specific format for criteria 117, requiring the end user to use a given set of words and symbols such as “PRICE<=200 and SUBJECT=Biology and QUALIFICATIONS=level 4 and RESPONSE TIME<=2.0 hours.” The end user may also designate price, response time, and payment terms as criteria 117 of end user request 120.
  • [0107]
    Criteria 117 are met by expert qualifications 140. As part of the registration process for candidate experts, their expert qualifications 140 are established by central controller 200. To be a level four patent attorney, for example, the expert might have to submit a copy of his bar results, and prove that he has had at least five years of work experience in patent law. He might also be required to submit references for three recent clients. In one embodiment, a certification means is provided whereby central controller 200 takes a more proactive role by searching databases for expert qualifications. Using a set of predetermined instructions, central controller 200 first establishes the subject of criteria 117. This subject is then correlated with an appropriate database of experts. A subject of “law,” for example, is correlated with legal directories while a subject of “medical” is correlated with medical directories. This database is then queried with the candidate's information, allowing the system to certify the qualifications of a candidate expert. With a subject of “law,” for example, an appropriate database is the Martindale-Hubbell Law Directory which contains over 900,000 entries for lawyers and law firms in the United States as well as over 140 foreign countries. A search is performed using the name of the candidate expert in order to see if there is a listing. This search could be performed automatically for every candidate requesting certification of legal qualifications. If the candidate expert represents a field for which there is no online database available, more general databases could be used. A writer, for example, might claim to have written articles for several major newspapers about trends in the pharmaceutical industry. These qualifications are easily certified by searching LexisNexis for those particular newspapers for samples of his work. Individual companies could provide access to their own in-house personnel databases. A big six accounting firm, for example, could allow limited access to the names of current and past employees, allowing central controller 200 to automate the verification of employment history for many accountants.
  • [0108]
    Alternatively, a candidate expert might submit expert qualifications 140 for review by a committee of higher-level experts. In order to be approved as a level four patent attorney, for example, an expert might have to receive the approval of a committee of level five patent attorneys. This committee would be selected by central controller 200. In this way, the burden of qualification falls primarily on the experts themselves, not on central controller 200. A hierarchy of experts is created, similar to the digital certificate authorities used for verifying public keys in cryptographic protocols. If each expert has a unique cryptographic key, the identity of each higher-level expert approving him may be incorporated into this key. Every expert answer 130 that the expert creates, therefore, would contain information about the experts who approved him. Communications with the reviewing experts are performed by the same method and apparatus as described in this asynchronous communications embodiment.
  • [0109]
    In another embodiment, expertise is provided not by a human expert, but by a conventional expert system, neural network, or software using artificial intelligence. An expert system specializing in the diagnosis of blood disorders, for example, could perform key word searches on end user requests 120. These key words would become the input parameters upon which the expert system would base its decision.
  • [0110]
    Referring again to FIG. 6, end user request 120 is then transmitted to central controller 200 at step 650. This transfer occurs via electronic mail, although the system also supports voice mail, facsimile, or postal mail transmissions of end user requests 120. With voice mail, the end user calls central controller 200 and leaves end user request 120 in audio form. These end user requests 120 may be transcribed into digital text at central controller 200, or made available to experts in the same audio format. In a postal mail embodiment, central controller 200 acts more like a router, directing end user requests 120 to the proper experts, creating multiple copies of end user request 120 if necessary. End user requests 120 may also be posted to bulletin boards or web pages operated by central controller 200. In a web-based embodiment, end users may fill out an electronic form built into the web page of central controller 200.
  • [0111]
    It is important to note that the generation and transmission of end user request 120 does not require the use of proprietary software. Conventional electronic mail software such as Eudora Pro, for example, is capable of providing editing tools for the creation of messages as well as the communications tools to route the message to the appropriate electronic address. As long as the messages conform to the standards established by central controller 200, an electronic mail program is capable of generating and transmitting end user request 120. The standard would specify the address to send the message to, the information to be contained in the subject heading, and the processing order of the body of the message. The first line of the body of the electronic mail, for example, is the ID number of the end user. The second line is their name, the third line is the subject, the fourth is the qualifications required, and the fifth line is the price. Standard forms could also be electronically mailed to the end user, allowing him to simply fill in the blanks and return end user request 120 to central controller 200. Similar forms and standards could be applied to fax and postal mail transmissions.
  • [0112]
    Referring now to FIG. 7, end user request 120 is received, stored, and processed by central controller 200 before being routed to the appropriate experts. At step 700, end user request 120 is received from the end user. Central controller 200 supports all transmission methods described at step 650, allowing for a wide variety of formats of incoming end user requests 120. Some formats may be changed, however, before further processing by central controller 200. End user requests 120 transmitted by mail in paper form, for example, may be scanned-in and digitized, using optical character recognition software to create digital text. Once end user request 120 has been received, it is stored in end user request database 265 where it is assigned a unique tracking number.
  • [0113]
    After being stored at step 700, end user request 120 may go through a series of processing steps. One step, if necessary, is language translation, either creating a standard language that all end user requests 120 must be written in, or translating to the language most appropriate for the experts to which it will be sent. This translation is provided by language experts registered with the system, or by automatic translation software such as Systran Professional, manufactured by Systran Software. Twelve bi-directional language combinations are available, including English to/from French, Italian, German, Spanish, Portuguese, and Japanese. Another step, if necessary, is to edit for spelling or grammatical errors. End user request 120 might also be reviewed for clarity. Any end user request 120 with an unclear question would be returned to the end user for clarification.
  • [0114]
    Another processing step searches for criteria 117. If no criteria 117 have been included, end user request 120 is sent back to the end user for resubmission. Alternatively, the end user can also provide criteria 117 by selecting the subject of end user request 120 directly via an online connection as described later in the interactive selection embodiment. If the end user does not want to provide criteria 117, end user request 120 may be classified by searching request 115 for predetermined keywords or subject matter designators stored in subject database 297. These keywords are then used for generating criteria 117. A request 115 for real estate valuations in Finland, for example, might be assigned criteria 117 of “SUBJECT=Real Estate.” Subject database 297 includes a list of key words associated with the subject of real estate, such as land, buildings, zoning, etc. Presence of one or more of these keywords in request 115 triggers a classification of request 115 as real estate.
  • [0115]
    There are a number of commercially available software packages which perform these types of searches, such as Semantic Networks by Excalibur Technologies Corporation. The software provides the ability to retrieve approximations of search queries and has a natural tolerance for errors in both input data and query terms, as well as providing a high level of confidence that searches will be successful regardless of errors in spelling of the data being searched. Excalibur's baseline semantic network supports multi-layered dictionary structures that enable integration of specialized reference works for legal, medical, finance, engineering and other disciplines. Excalibur's RetrievalWare enables developers to build information retrieval solutions for the full spectrum of digital information, including text, document images and multimedia data types, allowing for indexing and retrieving of digital images based on their objective content. These components enable pattern recognition-based image retrieval applications that automatically recognize certain types of visual information and provide extensive image management capabilities.
  • [0116]
    Before searching for the appropriate expert to respond to end user request 120, central controller 200 searches end user request database 265 at step 710 for similar end user requests 120 so that unnecessary duplication of work by experts is not performed. If end user request 120 relates to tax strategies for small businesses and has been asked before, there may be no need for having an expert create a new expert answer 130. It is simpler and cheaper to use the existing expert answer 130. Conventional search algorithms are used to search end user request database 265 for duplicate or similar end user requests 120. Examples of such string search algorithms include Knuth-Morris-Pratt, Rabin-Karp, Boyer-Moore, and Baeza-Yates-Gonnet. For reference, one of ordinary skill in the art may refer to Thomas H. Cormen, et al, Introduction to Algorithms, (MIT Press, 1990). Such algorithms could be used to determine a match so that end user requests 120 using different formats and sentence structure can be found. If a similar end user request 120 is found at step 720, then the end user is given the option of purchasing the associated expert answer 130 at step 730. If the end user wants to buy it, expert answer 130 is transmitted to the end user at step 740. A bill is sent to the end user at step 750, and royalty payments are added to the account of the expert who generated expert answer 130. These royalty payments may be a percentage of the price of the original end user request 120, a fixed payment per expert answer 130 used, or a combination of both. Royalty payments might decline over time, with a predetermined maximum royalty period.
  • [0117]
    Referring again to FIG. 7, if a similar end user request 120 is not found at step 720, or if the end user decides not to buy expert answer 130 at step 730, then central controller 200 begins to search for appropriate candidate experts satisfying criteria 117. At step 760, criteria 117 of end user request 120 are extracted and used as parameters for a search of expert database 255. At step 770, a list of experts is generated whose qualifications meet criteria 117. In a simple example, criteria 117 is “SUBJECT=mathematics and LEVEL=4 and PAPERS=number theory.” Central controller 200 searches expert qualifications database 285 for all records with expert qualifications 140 field value of level four mathematician. From this subset of experts, the database field for publications is then searched, eliminating all experts who have not published in number theory. The resulting list of experts satisfies criteria 117. Those skilled in the art will appreciate that there are many database search techniques in addition to those protocols described above. Fuzzy logic protocols, expert systems, and other systems using artificial intelligence may also be used to search the database and identify experts who have expert qualifications 140 which correspond to criteria 117.
  • [0118]
    The search for qualified experts is not limited to those experts registered with the system, however. External databases of known experts may also be queried to find qualified experts. The above-mentioned Martindale-Hubbell Law Directory, for example, could be searched for a particular specialist. When criteria 117 requires an attorney with experience in medical malpractice, for example, these keywords are entered into the database to produce a list of candidate experts. These experts may be added to the list of experts generated from registered experts. When no database currently exists for a particular group of experts, World Wide Web search tools such as Alta Vista may be employed. By typing in a few key words, resumes and personal home pages of appropriate candidate experts are produced. A message may then be sent to this list of experts indicating that there may be work available for them.
  • [0119]
    The resulting list of candidate experts may also be reduced after examining expert profiles 155 stored in expert database 255. These expert profiles 155 contain rules or preferences regarding characteristics of end user requests 120 sent to the expert. For example, expert profile 155 (described in the selection embodiment) might indicate that he does not want any end user request 120 transmitted to him that pays less than one hundred dollars. Or he may indicate that no end user requests 120 are to be transmitted to him if they require a completion time of less than one hour, unless the subject is fluid dynamics. These requirements are codified into rules and relationships which can be executed by central controller 200, narrowing the list of target experts.
  • [0120]
    Referring now to FIG. 8, there is illustrated a method for transmitting end user request 120 to the appropriate experts. At step 800, central controller 200 generates a price for end user request 120 and attaches it. This price is based on several factors including the expected length of time to produce expert answer 130, complexity of expert answer 130, the qualifications of the expert, and criteria 117. End user request 120 and price are transmitted to the qualifying experts at step 810, using expert address 145 contained in expert database 255. End user request 120 is transmitted by e-mail, postal delivery, phone, pager, beeper, radio or television broadcast, etc. Alternatively, a combination of these methods is used. A message might be sent to the expert's beeper, for example, telling him to check his email for the complete end user request 120.
  • [0121]
    If the expert does not accept the job at step 820, he transmits a denial to central controller 200 at step 830, or simply does not respond. If the expert accepts at step 820, he sends an acceptance message to central controller 200 at step 840. Central controller 200 tracks acceptances, transmitting end user request 120 back to the end user at step 870 for resubmission if no acceptances are received within a given period of time. If acceptances have been received at step 850, end user request 120 is transmitted at step 860 to the first responding expert.
  • [0122]
    FIG. 9 illustrates the concluding phase of the process in which the expert develops expert answer 130. After receiving end user request 120, the expert develops expert answer 130 at step 900. At step 910, the expert attaches his expert ID and then transmits expert answer 130 and expert ID to central controller 200 at step 920. Central controller 200 adds a tracking number to expert answer 130 and stores it in expert answer database 270. The end user is billed at step 930. As will be described in the billing embodiment of the present invention, end user payment may take the form of a credit card transaction, the direct transfer of funds into his bank account, or other preferred methods. After billing the end user, expert answer 130 is transmitted to the end user at step 940. At step 950, the expert is paid for expert answer 130 produced.
  • [0123]
    After reviewing expert answer 130, the end user may be prompted by central controller 200 to provide reference data such as a rating from one to ten, representing the perceived quality of expert answer 130. This rating is transmitted to central controller 200 where it is stored in expert database 255. These ratings are made available to other end users as reference data, providing another parameter for the selection process. These ratings are also used for quality control purposes, with written warnings provided to experts whose average ratings dropped below an established level.
  • Billing Embodiment
  • [0124]
    FIGS. 10, 11, 12, 13, and 14 describe an exemplary payment and billing system of the present invention. End users are billed for expert answers 130 received, and experts are compensated for expert answers 130 produced. The system is capable of ensuring that experts receive payment for their work, whether or not the end user pays. This provides additional incentive for experts to register with the system, as the possibility of bad debt has been eliminated since central controller 200 takes on the risk of not collecting from end users. End user invoicing and expert payment is described using conventional credit card electronic charges, checks, Electronic Funds Transfer (“EFT”), or digital cash. These payment methods are meant to be merely illustrative, however, as there are many equivalent payment methods commonly known in the art which may also be used.
  • [0125]
    In FIG. 10, the billing process is initiated at step 1000 when central controller 200 transmits expert answer 130 to the end user (refer to FIG. 9, steps 930, 940 and 950). Once the billing process is started, the price and tracking number of end user request 120 is sent to billing database 280 at step 1010. At step 1020, there are two billing protocols that can be used. The first, cash on delivery, requires that the end user pay before receiving expert answer 130. The second protocol is a credit system in which the end user pays at the end of the billing period. In the cash on delivery protocol, billing processor 225 generates a bill prior to sending expert answer 130 to the end user, proceeding immediately to step 1030. One exemplary embodiment of a payment guarantee means of the present invention is described as follows. Central controller 200 requires the end user to prepay for at least part of the services received, forcing the end user to keep a minimum balance of money in order to be eligible to use the system. Central controller 200 then automatically deducts the price of expert answer 130 from this escrow account before expert answer 130 is transmitted to the end user. Transaction records and balance information is stored in billing database 280. Rather than actually depositing the money with central controller 200, the end user might instead be required to merely have sufficient credit available. A credit card on file with central controller 200, for example, is checked before end user request 120 is sent to the expert. If sufficient credit remains in the account, the expert is told to complete expert answer 130. If credit available is not sufficient to cover the price of expert answer 130, the end user is required to provide another credit card number. For EFT transfers, the end user's account information is stored in billing database 280, enabling central controller 200 to check the account balance before providing expert answer 130 to the end user.
  • [0126]
    In a credit protocol, processor 225 searches billing database 280 by end user ID at the end of each billing period and totals the amount owed by each end user. It should be noted that in this credit protocol, while the end user does not pay until the end of the billing period, the expert may still receive payment immediately. Central controller 200 pays the expert at step 870 when end user request 120 is sent to the expert, or at step 930 at which point central controller 200 has already received expert answer 130. At step 1030, the preferred billing method is retrieved from end user database 260, and the appropriate billing module (credit card, EFT, check, electronic cash), is initiated at step 1040. In an alternate embodiment, the end user does not pay for expert answer 130 unless he is satisfied with it. This embodiment allows the end user to examine expert answer 130 for a given period of time, then he sends an authorization of payment to central controller 200 if he is satisfied. If the end user is not satisfied, a rejection message is sent to central controller 200 and an expert review process is started as described in the customer satisfaction embodiment.
  • [0127]
    The process of paying the expert begins at step 1050 when the price and tracking number of end user request 120 are sent to payment database 275, with the ID of the expert extracted from expert answer 130 and stored in payment database 275. At step 1060, payment processor 230 searches payment database 275 by expert ID and totals the amount owed to the expert. As with billing the end user, the expert could be paid using either a cash on delivery or credit protocol. Cash on delivery works the same for the expert as it does for the end user. Payment is made immediately. In the credit protocol, the expert has an account with central controller 200 that maintains a balance for the expert. At step 1070, the preferred payment method is retrieved from expert database 255, and the appropriate payment module is initiated at step 1080. This step may be held up until payment has been received from end user. During the period between payments, while the expert still has a balance of funds due, it would be possible for the expert to use these funds to purchase expert answers 130 for himself, with the amount deducted from the balance represented in payment database 275.
  • [0128]
    Although the above protocols describe a number of ways in which payments may flow from end user to expert, it is important to note the methods by which central controller 200 may generate revenues for services provided.
  • [0129]
    In one embodiment, a flat fee is charged for every end user request 120 submitted, with the end user paying the fee in addition to reimbursing the expert. There could also be flat fees that would cover any number of transactions over a given period of time, allowing end users to subscribe to the service much as they would subscribe to a newspaper. In another embodiment, central controller 200 creates a bid/ask spread in which end users are charged a premium over the cost of the expert. If an expert requires fifty dollars for an expert answer 130, central controller 200 may mark this up by 20%, charging the end user sixty dollars. Experts may be retained by central controller 200 on a salaried basis, with revenues collected from end users paying those salaries. In another embodiment, advertisers pay to have messages included in end user request 120, expert answer 130, or web pages of central controller 200. Advertising revenues then partially or fully offset the cost of expert answer 130. Payments to experts for expert answers 130 produced may also be reduced in exchange for the expert's advertising message displayed at central controller 200 or in expert answer 130. Alternatively, the method and apparatus of the present invention may be employed without a payment feature.
  • [0130]
    Once the amount owed by the end user and the amount to be paid to the expert has been calculated, appropriate billing and payment methods are initiated. FIG. 11 illustrates an exemplary payment and billing procedure using credit cards as the primary transaction vehicle. The advantage of this system is its simplicity. No bank account is necessary, and no paper transactions are required. At step 1100, central controller 200 looks up the credit card number of the end user in end user database 260. At step 1105, this credit card number is transmitted to billing processor 225. Billing processor 225 contacts the credit card clearinghouse to get an authorization number at step 1110. The billable amount appears on the credit card statement of the end user at step 1115. At step 1120, the clearinghouse posts this amount to central controller 200 account. At step 1125, central controller 200 updates billing database 280 to indicate that payment has been made. A similar process occurs on the payment side. At step 1130, central controller 200 looks up the credit card number of the expert in expert database 255. At step 1135, this credit card number is transmitted to payment processor 230. Payment processor 230 contacts the issuing bank to verify that the account is still active at step 1140. Value is added to the expert's credit card account at step 1145, where it shows up as a credit on his monthly bill. At step 1150, central controller 200 updates payment database 275 to indicate that payment has been made.
  • [0131]
    FIG. 12 illustrates a payment procedure involving standard bank checks. In billing the end user, central controller 200 looks up his mailing address at step 1200 in end user database 260. This address is transmitted to billing processor 225 at step 1210. A bill is mailed to the end user at step 1220, and the check is received from the end user at step 1230. At step 1240, central controller 200 updates billing database 280 to indicate that payment has been made. At step 1250, central controller 200 looks up the mailing address of the expert in expert database 255. This information is transmitted to payment processor 230 at step 1260. Payment processor 230 then automatically cuts a hard copy check, payable to the expert, which is then mailed to the expert at step 1270. At step 1280, central controller 200 updates payment database 275 to indicate that payment has been made.
  • [0132]
    Referring now to FIG. 13, there is illustrated a procedure in which funds are transferred via electronic funds transfer (EFT). At step 1300, the bank account number of the end user is looked up in end user database 260. This account number is transmitted to billing processor 225 at step 1310, followed by the transfer of funds directly into the account of central controller 200 at step 1320. At step 1330, central controller 200 updates billing database 280 to indicate that payment has been made. Paying the expert is essentially the reverse process. At step 1340, central controller 200 searches expert database 255 for the bank account number of the expert. This bank account number is transmitted to payment processor 230 at step 1350, which transfers the money directly into the account of the expert at step 1360. At step 1370, payment database 275 is updated to indicate that payment has been made.
  • [0133]
    Referring now to FIG. 14, there are shown commercial transaction procedures using digital cash. For billing the end user, central controller 200 looks up the end user's electronic delivery address in end user database 260 at step 1400. This address is transmitted to billing processor 225 at step 1410, with the digital cash being downloaded from the end user at step 1420. At step 1430, central controller 200 updates billing database 280 to indicate that payment has been made. Payment to the expert proceeds similarly. At step 1440, the electronic delivery address is sent to payment processor 230. This address might be an email address if the digital cash is to be transferred by email, or it could be an Internet Protocol address capable of accepting an online transfer of digital cash. At step 1450, this electronic delivery address is sent to payment processor 230. At step 1460, the digital cash is downloaded to the expert. At step 1470, central controller 200 updates payment database 275 to indicate that payment has been made. Using these digital cash protocols, it is possible for the end user to include payment along with end user request 120 in e-mail form. An end user who had already negotiated a final price with an expert for expert answer 130, for example, could include digital cash along with his confirmation of the acceptability of the price.
  • [0134]
    The practice of using digital cash protocols to effect payment is well known in the art and need not be described here in detail. For reference, one of ordinary skill in the art may refer to Daniel C. Lynch and Leslie Lundquist, Digital Money, John Wiley & Sons, 1996; or Seth Godin, Presenting Digital Cash, Sams Net Publishing, 1995.
  • Interactive Selection Embodiment
  • [0135]
    In one embodiment of the present invention, the end user selects the expert(s) prior to transmitting end user request 120, rather than having central controller 200 select for the end user based on criteria 117. In this embodiment, end user request 120 sent to central controller 200 includes the ID number of the selected expert(s). The benefit to selecting the expert prior to sending end user request 120 is that the end user gains more control over the routing of end user request 120, allowing the end user to include some experts while excluding others. For example, if end user request 120 involves a particular business, the end user may not want central controller 200 to route end user request 120 to certain experts involved with that business. In order to facilitate the end user selecting the expert, the present invention includes an interactive selection embodiment. FIGS. 15 and 16 show an interactive selection embodiment which allows the end user to establish an online connection with central controller 200, select a subject area matching end user request 120, select qualified experts, and then submit end user request 120.
  • [0136]
    FIG. 15 describes an embodiment of the present invention wherein the end user selects an expert to respond to request 115. The end user establishes an online connection via the INTERNET, AOL, CompuServe, Prodigy, or other conventional online system to central controller 200 at step 1500. End user interface 500 displays a screen on video monitor 530 which offers a selection of predetermined subject areas at step 1510, such as Finance, Real Estate, Medicine, Legal, Sports, Music, Recreation, Hobbies, etc. as described in box 1515. These subject areas are stored in subject database 297. The end user selects a category, and is prompted to select from various sub-categories at step 1520, such as pediatrics or optometry, within the medicine category as described in box 1525.
  • [0137]
    After a sub-category is selected, a list showing expert qualification 140 levels is displayed as in box 1535, e.g., Level 1, Level 2, Level 3, etc. Each level corresponds to predetermined groupings of expert qualifications 140 for the selected subject area, which have been stored in expert qualifications database 285. Once a level of expertise has been selected at step 1530, a list of expert IDs is displayed along with an option to see specific expert qualifications 140 as well as pricing for the expert. In addition, ratings for that expert may be made available. In an effort to prevent end users from contacting experts outside the system prior to a deal being reached, the user may be prevented from seeing contact information such as phone number or location. If the end user ultimately does not select an expert, but is then discovered to have negotiated a job with an expert outside the system, he may be charged a usage fee as a percentage of the total value of the job. In one embodiment, the end user agrees to such restrictions when he registers with the system.
  • [0138]
    The end user then selects the number and level of expert(s) at step 1540 from which he would like to receive an expert answer 130. The end user is prompted for end user request 120 and payment authorization at step 1550. In addition, the end user may enter payment preferences, such as credit card, EFT, or digital cash as shown in box 1555.
  • [0139]
    FIG. 16 shows how the end user makes his request 115 to the selected expert and how the expert receives payment for expert answer 130. Request 115 is combined with the end user's ID and expert ID(s) to form end user request 120 at step 1600. If additional security is necessary, a cryptographic key (as shown in box 1605) may be used along with the end user's ID. End user request 120 is transmitted to central controller 200 for distribution to the selected experts. At step 1620, central controller 200 stores end user request 120 in end user request database 265. Central controller 200 may authenticate the user as well, as shown in box 1615. The cryptographic protocols described in the cryptographic authentication embodiment may be used for steps 1605 and 1615.
  • [0140]
    End user request 120 is then transmitted to the expert at step 1630. The expert can either accept or reject end user request 120 at step 1640. If the expert rejects end user request 120, the user is notified and the transaction stops at step 1650. If an expert chooses to respond to end user request 120 at step 1640, the expert sends confirmation to central controller 200 and begins to answer end user request 120 at step 1660. Central controller 200 then sends billing authorization to payment processor 230 at step 1670.
  • [0141]
    As with the asynchronous communications embodiment, the end user receives expert answer 130 from the expert and is billed for the services rendered. See the billing embodiment for more details of this process. As far as the expert is concerned, this system is indistinguishable from the asynchronous communications embodiment.
  • Synchronous Communications Embodiment
  • [0142]
    In one embodiment of the present invention, end users who require continuous interaction with an expert can establish a synchronous communication channel with the expert. Although many problems can be solved using an asynchronous communications protocol, those problems requiring follow up questions from the expert to the end user and vice versa need real-time communications. For example, if a patient has a question about a lump found under his arm, the oncologist may have to ask a series of questions to determine what the lump might be. There are several embodiments of synchronous communications the end user and expert can engage in: one expert to one end user, one expert to many end users, many experts to one end user, and many experts to many end users. Although protocols will be described in detail for one expert to one end user communications, those skilled in the art will appreciate that these protocols may be applied to all four embodiments. In the described embodiment, the expert and the end user exchange a series of end user requests 120 and expert answers 130 using a one-to-one synchronous communications channel such as telephone, real-time text messaging or video conferencing.
  • [0143]
    The end user can request a synchronous communication channel when he makes his initial end user request 120 using any of the embodiments of the present invention including the asynchronous communications embodiment and the interactive selection embodiment. If criteria 117 includes a request for real-time communications, central controller 200 generates a list of all qualified experts (as shown in FIG. 7, step 770) who are willing to establish a synchronous communications channel. Although many synchronous communications channels may be used, in this embodiment an online messaging system is described which uses a standard online service to provide the real-time text-based communications link between the expert and the end user.
  • [0144]
    Referring now to FIGS. 17, 18, 19, and 20, there is shown a synchronous communications embodiment in which a continuous communications channel is established between the expert and end user using message window 170. Message window 170 is a text-based computer “window” displayed on video monitor 530 of end user interface 500 and on video monitor 430 of expert interface 400. The end user types end user requests 120 directly to message window 170 which appears on video monitor 530. Simultaneously, the expert sees end user request 120 on his video monitor 430. When the expert types expert answer 130, the end user instantly sees expert answer 130 and responds with another end user request 120 or exits the system.
  • [0145]
    FIG. 17 shows how the user accesses message window 170. At step 1700, the end user connects to an online service. This might be America Online, CompuServe, Prodigy, or even a BBS as shown in box 1705. The online service, however, acts only as the interface for the present invention. Control of user access, qualifications, billing, payment, and other functions still resides at central controller 200. Online services act merely as a convenient conduit for synchronous communications given their capacity to handle tens of thousands of simultaneous communications. In another embodiment, central controller 200 handles all synchronous connections directly, eliminating the need for online networks. At step 1710, a communications channel is opened between central controller 200 and the online service. The communications channel is a direct electronic link such as a circuit switched or packet switched network connection. Once this connection has been made, the end user provides his ID number at step 1720 and his payment information at step 1730. Payment information includes a credit card account number, bank account number or other payment method as shown in box 1735.
  • [0146]
    After the end user has been authorized to enter the system, he either selects an expert from the list of experts generated by central controller 200 as described in the asynchronous embodiment (FIGS. 6,7,8 and 9) or selects an expert as described in the interactive selection embodiment (FIGS. 15 and 16) at step 1740. Once an expert has been selected, central controller 200 assigns message window 170 to the end user. If additional security is required, the end user may be required to provide a password to central controller 200 prior to gaining admittance to message window 170. If the selected expert is not online, central controller 200 sends a message to the expert (via e-mail, telephone, beeper, fax, etc.) stating that an online session is available at step 1750. If central controller 200 does not receive a response within a predetermined time (usually specified in criteria 117) central controller 200 sends a message to the end user and allows him to select another expert. Once the end user enters message window 170, a signal is sent to central controller 200 to begin tracking message window time for billing based on the access to the expert at step 1760.
  • [0147]
    FIG. 18 describes the operational aspects of message window 170. At step 1800, the end user has entered message window 170 and inputs end user requests 120 through end user interface 500. After the end user and expert have exchanged a plurality of end user requests 120 and expert answers 130 at step 1810, the end user leaves message window 170 at step 1820. This may involve a log off procedure in which the end user signals message window 170 that he has ended the session. At step 1830, message window 170 transmits a message to central controller 200 which ends the billing period for that particular session. The end user's account is billed at step 1840, using any of the various billing methodologies described in the billing embodiment.
  • [0148]
    There are multiple ways of charging the end user for time spent in message window 170, including a per question basis, per minute in message window 170, per expert answer 130 given by an expert, or any other method of measuring the end user's usage. In one embodiment, each message window has a different cost method based on expert qualifications 140.
  • [0149]
    Although the above protocol describes expert answers 130 delivered in real time, it would be possible for the experts to provide answers at a later time in a follow-up e-mail or voice mail to the end user. For example, the expert might need time to do research prior to providing expert answer 130.
  • [0150]
    FIG. 19 describes the method by which the expert registers with central controller 200 for a synchronous communications session. At step 1900, the expert connects to the online service in the same manner as the end user. At step 1910, he connects to central controller 200 as the end user did, although a different channel of communications may be used if greater security is required. After the connection is made at step 1920, the expert provides an ID number and is given access to the system. For additional security, the expert may be required to produce a password and/or submit to a challenge/reply protocol in which he must produce a piece of information known only to that expert, such as his mother's maiden name or his social security number. Before the expert enters message window 170, he receives a compensation offer at step 1940 based on the his qualifications 140, i.e., licenses, degrees, memberships, certifications, industry experience, etc. The offer is on a per hour basis, the number of questions answered, or another equivalent basis. In one embodiment, the expert's services are sold on a prepaid basis with the expert agreeing to provide a fixed number of consulting hours or sessions over a given time period.
  • [0151]
    FIG. 20 describes the procedure once the expert has received the compensation offer. If the expert does not accept the compensation offer at step 2000, he is given the option to wait for another message window 170. Central controller 200 then contacts another qualified expert to enter message window 170 at step 2060. If the compensation offer is accepted at step 2000, the expert is provided with a password at step 2010 that allows access to message window 170. After providing this password at step 2020, the expert enters message window 170. At step 2030, the expert provides expert answers 130 to end user requests 120 generated by the end user in message window 170.
  • [0152]
    In an alternative embodiment, the end user or the expert may request a second expert to join the synchronous communications channel. The second expert is added to message window 170 in a similar manner to the first expert. The second expert provides additional information to the end user and can collaborate with the first expert to provide expert answers 130. A second expert may also be contracted by central controller 200 to act as a monitor for the first expert. This second expert is paid to monitor the first expert's performance and/or supply additional information to the end user. The second expert also provides a level of quality assurance by verifying the responses of the first expert, correcting responses or adding clarifying information.
  • [0153]
    After the session, the expert leaves message window 170 at step 2040 and receives compensation from central controller 200 at step 2050. If compensation is based on the time spent in message window 170, message window 170 generates a time log and sends it to central controller 200. This time log includes the ID number of the expert, the time that he entered message window 170, and the time that he exited. Central controller 200 combines this information with the appropriate rate per hour and determines a final compensation amount. This amount is transferred to the expert, or accumulates in an account at central controller 200 for payment at a predetermined time as described in the billing embodiment.
  • [0154]
    In an alternative embodiment, end users and experts can be connected directly using synchronous communications channels such as the telephone network. In this embodiment, the end user calls central controller 200 and connects to the IVRU (Interactive Voice Response Unit). The end user is prompted to respond to requests similar to those described in the interactive selection embodiment. As shown in FIG. 15, the end user enters his ID, selects the subject, sub-category, and expert level via the IVRU prompts. Central controller 200 automatically connects to an expert already online or calls an appropriate expert and connects the end user. When the end user is finished asking questions, he hangs up, triggering central controller 200 to end the billing period. Payment and billing occur in similar manners as described in the billing embodiment.
  • Grading Embodiment
  • [0155]
    FIGS. 21, 22, 23, and 24 depict an embodiment in which tests, submitted by the end user (in this case the test taker or test administrator), are graded by experts. This embodiment differs from previous embodiments in that the question and the answer are both transmitted to the expert. Thus, an essay may be transmitted along with a model answer, requiring the expert to produce an evaluation of the test taker's answer, rather than producing the answer itself.
  • [0156]
    In this embodiment, criteria 117 represent the expert qualifications 140 of the grader, e.g., price, time frame, subject matter expertise, educational background, licenses, certifications, etc. Central controller 200 manages the data communications between the graders and test takers. Moreover, test submissions (expert questions) may be divided so that different graders receive different portions of the same test submission.
  • [0157]
    FIG. 21 describes the process of test generation. This embodiment involves a test giver and a test taker. At step 2100, the test giver generates test questions and answers for a particular test. At step 2110, the tests are distributed to the test takers. A list of IDs of all test takers who took the test is produced at step 2120. At step 2130, criteria 117 are added to this list to indicate the required level of expertise to grade the test. At step 2140 the test giver combines the questions, answers, test taker IDs, his own test giver ID, and criteria 117 to form grading request 125. This grading request 125 is transmitted to central controller 200 at step 2150. Central controller 200 authenticates grading request 125 at step 2160 by checking the attached test giver ID number. If more secure authentication protocols are required, the cryptographic techniques described in the cryptographic authentication embodiment may be used.
  • [0158]
    The test taker completes the test at step 2170. If the test was not taken in electronic form, it is converted to electronic form at step 2180. An essay test, for example, might be completed with paper and pencil and then converted into electronic format by digitally scanning it, pasting the resulting images into email messages. Such tests could also be faxed directly to central controller 200, with the digital image being stored directly in end user request database 265. After attaching his test taker ID at step 2190, test taker answers are transmitted to central controller 200 at step 2150.
  • [0159]
    FIG. 22 describes the process of breaking up the tests into individual questions and receiving payment acknowledgment. At step 2200, grading request 125 is stored in end user request database 265. At step 2210, the tests are broken up into individual questions or sections. A geometry test, for example, might consist of five proofs. At step 2220, central controller 200 generates a list of graders whose expert qualifications 140 meet criteria 117 of grading request 125. At step 2230, price information is transmitted to the test administrator. If the price is accepted by the test administrator at step 2240, payment acknowledgment is sent to central controller 200 at step 2260. If the price is not accepted, no further action is taken at step 2250. Alternatively, the test administrator might send back to central controller 200 a counter-offer at a lower price. At step 2270, notification of grading request 125 is sent to all graders on the list of qualified graders.
  • [0160]
    Referring now to FIG. 23, there is shown an exemplary embodiment for transmitting test components to graders. If the grader accepts the test components at step 2300, he sends an acknowledgment to central controller 200 at step 2320. If the grader does not accept, no further action is taken at step 2310. At step 2330, if more than one grader has accepted the work, then a determination is made at step 2340 as to whether or not the test components can go to multiple graders. If the test components can go to multiple graders, then the test components are distributed based on criteria 117 of grading request 125 at step 2350. If the test components cannot be split up, then a single grader is selected at step 2360 based on criteria 117 of grading request 125. After step 2350 and 2360, the test components are transmitted to the appropriate grader at step 2370. If only one grader accepts the work at step 2330, then the test components are transmitted to the grader at step 2370.
  • [0161]
    Referring now to FIG. 24, at step 2400, the grader completes the grading of each test component sent to him, transmitting the results to central controller 200 at step 2410. In order to ensure that the responses have come from a legitimate grader, the responses can be authenticated at step 2415. Techniques described in the cryptographic authentication embodiment may be used if more secure authentication is required. Central controller 200 then reassembles the test components back into complete tests at step 2420. At step 2430, the test administrator is billed for the grading. At step 2440, the graded tests are transmitted to the test administrator, payment is then made to the graders.
  • [0162]
    Using the authentication and anonymity features described below, an electronic grading system can be provided wherein the test takers and test administrators (end users) do not know the identity of the graders (experts); conversely the graders do not know the identity of the test takers.
  • Cryptographic Authentication Embodiment
  • [0163]
    In the previous embodiments, authentication of the end user and expert involves checking the attached ID or name and comparing it with those stored in expert database 255 and end user database 260. Although this procedure works well in a low security environment, it can be significantly improved through the use of cryptographic techniques. These techniques not only enhance the ability to authenticate the sender of a message, but also serve to verify the integrity of the message itself, proving that it has not been altered during transmission. Encryption can also prevent eavesdroppers from learning the contents of the message. Such techniques shall be referred to generally as cryptographic assurance methods, and will include the use of both symmetric and asymmetric keys as well as digital signatures and hash algorithms.
  • [0164]
    The practice of using cryptographic protocols to ensure the authenticity of senders as well as the integrity of messages is well known in the art and need not be described here in detail. For reference, one of ordinary skill in the art may refer to Bruce Schneier, Applied Cryptography, Protocols, Algorithms, And Source Code In C, (2d Ed, John Wiley & Sons, Inc., 1996).
  • [0165]
    FIG. 25 describes a symmetric key embodiment in which the expert and central controller share a key. Thus both encryption and decryption of expert answer 130 are performed with the same key. This encryption may be implemented with an algorithm such as DES (U.S. Government standard, specified in FIPS PUB 46), or with any of several algorithms known in the art such as IDEA, Blowfish. RC4, RC2, SAFER, etc. The expert encrypts expert answer 130 with his assigned symmetric key at step 2500, using cryptographic processor 435 of expert interface 400. The key may be stored in information storage 470 or otherwise stored or memorized by the expert. The encrypted expert answer 130 is then transmitted to cryptographic processor 210 of central controller 200 at step 2510. Cryptographic processor 210 extracts the expert ID from the message at step 2520 and looks up the symmetric key of the expert in cryptographic key database 290 at step 2530, decrypting expert answer 130 with this key at step 2540. Cryptographic key database 290 contains algorithms and keys for encrypting, decrypting and/or authenticating messages. At step 2550, if the resulting message is intelligible, then it must have been encrypted by the same key, authenticating that the expert must have indeed been the author of expert answer 130.
  • [0166]
    This procedure makes it significantly more difficult for an attacker to represent himself as an expert. Without cryptographic procedures, an attacker who obtained a sample expert answer 130 from a given expert would be able to extract the expert ID and then attach this ID number to any of the attacker's expert answers 130. When the message has been encrypted with a symmetric key, however, an attacker obtaining a sample expert answer 130 only discovers the expert's ID number, not the symmetric key. Without this key, the attacker cannot create an expert answer 130 that will not be discovered by central controller 200, since he cannot encrypt his message in the same way that the authentic expert could. The symmetric key protocol also ensures that the message has not been tampered with during transmission, since alteration of the message requires knowledge of the symmetric key. An encrypted end user request 120 also provides the end user with more anonymity.
  • [0167]
    Referring now to FIG. 26, there is shown an asymmetric key protocol in which expert answer 130 is encrypted with a private key and decrypted with a public key. Two such algorithms for this procedure are RSA and DSA. At step 2600, the expert encrypts expert answer 130 with his private key using cryptographic processor 435, transmitting expert answer 130 to central controller 200 at step 2610. Cryptographic processor 210 extracts his expert ID at step 2620 and looks up the expert's associated public key in cryptographic key database 290 at step 2630, decrypting the message with this public key at step 2640. As before, if the message is intelligible then central controller 200 has authenticated the expert at step 2650. Again, attackers obtaining the message before it was received by central controller 200 are not able to undetectably alter it since they do not know the private key of the expert. Attackers would, however, be able to read the message if they managed to obtain the public key of the expert. Message secrecy is obtained if the expert encrypted the message with his public key, requiring the attacker to know the expert's private key to view the message.
  • [0168]
    FIG. 27 shows a cryptographic technique using digital signatures to provide authentication and message integrity. One such algorithm is DSA (Digital Signature Algorithm), the U.S. Government standard specified in FIPS PUB 186. As in the asymmetric protocol described above, each expert has an associated public and private key. The expert signs expert answer 130 with his private key at step 2700 with cryptographic processor 435 and transmits it to central controller 200 at step 2710. Cryptographic processor 210 extracts the expert ID at step 2720 and looks up the expert's public key at step 2730, verifying the signature using expert answer 130 and the public key of the expert at step 2740. If expert answer 130 is intelligible, then central controller 200 accepts expert answer 130 as authentic at step 2750.
  • [0169]
    Referring now to FIG. 28, there is described a cryptographic technique using message authentication codes for verifying the authenticity and integrity of expert answers 130. In the hash protocol of the present invention, the expert and central controller 200 share a symmetric key, which the expert includes in a hash of his expert answer 130 at step 2800. In the hash protocol, a one-way function is applied to the digital representation of expert answer 130, generating a code that acts much like the fingerprint of expert answer 130. Any of the MAC algorithms, such as RIPE-MAC, IBC-Hash, CBC-MAC, and the like may be applied in this application. After transmitting the message to central controller 200 at step 2810, cryptographic processor 210 looks up the expert's symmetric key at step 2830 and hashes expert answer 130 with this symmetric key at step 2840, comparing the resulting hash value with the hash value attached to expert answer 130. If the values match at step 2850, the integrity of the message is verified along with the authenticity of the author.
  • [0170]
    Although cryptographic techniques can provide greater confidence in the authenticity of an expert answer 130, they are useless if the expert's cryptographic keys are compromised. An attacker obtaining the symmetric key of another expert is indistinguishable from that expert in the eyes of central controller 200. There is no way to know whether the expert was the true author of expert answer 130, or an attacker with the right cryptographic keys. The only way to solve this problem (known as undetected substitution) is to use biometric devices such as a fingerprint reader, voice recognition system, retinal scanner and the like. These devices incorporate a physical attribute of the expert into his expert answer 130, which is then compared with the value stored in expert database 255 at central controller 200. In the present invention, such devices attach to expert interface 400.
  • [0171]
    Fingerprint verification, for example, may be executed before the creation of expert answer 130, during the generation of expert answer 130 in response to prompts from central controller 200, at some predetermined or random times, or continuously by incorporating the scanning lens into the expert's answer device such that the expert is required to maintain his finger on the scanning lens at all times during the response session for continuous verification.
  • [0172]
    An example of such an identification device is the FC100 FINGERPRINT VERIFIER available from Startek, a Taiwanese company. The FC100 is readily adaptable to any PC via an interface card. The fingerprint verifier utilizes an optical scanning lens. The expert places his or her finger on the lens, and the resulting image is scanned, digitized, and the data compressed and stored in memory. Typically, a 256-byte file is all that is required. Each live-scan fingerprint is compared against the previously enrolled/stored template, stored in expert interface 400. If the prints do not match, the cryptographic algorithms in expert interface 400 may prevent the expert from generating an expert answer 130.
  • [0173]
    In a voice verification embodiment, the expert's voice is used to verify his identity. This embodiment has the advantage of not requiring the use of any specialized hardware since it can be implemented over a standard phone connection. The expert's identity is verified at central computer 200. The process of obtaining a voice-print and subsequently using it to verify a person's identity is well-known in the art, and therefore need not be described in detail herein. One of ordinary skill in the art may refer to SpeakEZ, Inc. for voice identification/verification technology. Conventional speaker identification software samples the expert's voice. This sample is stored at central controller 200 in expert database 255. Each time the expert wants to send an expert answer 130 to central controller 200, he is required to call central controller 200 and speak into the phone at the prompt for a voice sample. If this sample matches that stored in expert database 255, the expert is provided a password which is incorporated into the digital signature appended to expert answer 130. Any expert answer 130 received without an appropriate voice match password is not accepted. The voice-print may also be stored in a database at expert interface 400, to verify the expert's identity at that location prior to allowing an expert answer 130 to be created.
  • Anonymous Transactions Embodiment
  • [0174]
    As mentioned previously, the present invention provides for the anonymity of both end users and experts. Such anonymity is accomplished by eliminating all references to the names of the individuals for all transactions. An end user, for example, would include his ID in end user request 120 rather than his name, preventing the expert receiving end user request 120 from discovering the end user's identity. This is desirable if the end user were a celebrity seeking psychiatric advice, or if the president of a major pharmaceutical manufacturer is asking for an evaluation of a potential acquisition in the biotech field.
  • [0175]
    In a similar manner, experts may also want to keep their identity a secret. An author providing critiques of amateur works might not want his fans bombarding him with questions. A high priced lawyer giving low-cost advice to certain clients might not want his other clients to know.
  • [0176]
    Both experts and end users may also require varying levels of anonymity. One expert, for example, may feel comfortable revealing the country he is from but not the city, while another expert is comfortable providing his professional association but not the industry he represents.
  • [0177]
    Although using ID numbers can provide anonymity, both for end users and experts, there are a number of potential weaknesses. First, if the database of ID numbers, stored in expert database 255 or end user database 260, and their respective experts/end users is compromised, anonymity is destroyed since the message sender can be looked up in expert database 255 or end user database 260. To prevent this, the ID numbers are encrypted with the public key of central controller 200, so that even if it is stolen it is useless without the private key.
  • [0178]
    Another problem is that someone capable of watching the flow of end user requests 120 and expert answers 130 into and out of central controller 200 might be able to discern which end user was getting an expert answer 130 from which expert. The attacker might do this by examining the length of the outgoing end user request 120. A reporter, for example, might be interested in the questions that a celebrity was asking. He could track messages transmitted by the celebrity, observing messages leaving central controller 200 to see if any were of the same length. This might give the reporter clues as to the type of expertise sought by the celebrity.
  • [0179]
    Referring now to FIG. 29, there is described a method to prevent this attack using the anonymous mix 180 of the present invention. Anonymous mix 180 uses a protocol to make it very difficult for anyone to trace the path of a message which passes through the mix. Anonymous mix 180 takes outgoing messages from central controller 200 and randomly varies both the length of the message as well as the timing of its delivery. An incoming message of two hundred kilobytes, for example, might be expanded to three hundred kilobytes by adding random characters at the end. An attacker would thus be unable to correlate (by length of message) the incoming end user requests 120 with end user request 120 sent to the various experts. By adding a random time delay in the processing of incoming end user requests 120, central controller 200 also prevents an attacker from correlating (based on time) incoming end user requests 120 with outgoing end user requests 120.
  • [0180]
    An example of the anonymous protocol employed in the present invention is set forth below.
  • [0181]
    Notation and Conventions for this protocol:
  • [0182]
    a. PKE_{PK_U}(X) represents the public-key encryption of X under public key PK_U.
  • [0183]
    b. SIGN_{SK_U}(X) represents the digital signature of X under private key SK_U.
  • [0184]
    c. E_{K0}(X) represents the symmetric encryption of X under key K0.
  • [0185]
    d. PK_U represents the public key of user U.
  • [0186]
    e. SK_U represents the private key of user U.
  • [0187]
    f. D_U represents the identification number or code of user U.
  • [0188]
    g. X,Y represents the concatenation of X with Y.
  • [0189]
    Anonymous Mix
  • [0190]
    Keys used in this protocol:
  • [0191]
    a. PK_M is the anonymous mix 180 public key.
  • [0192]
    b. ID_B Is Bob's ID.
  • [0193]
    c. PK_B is Bob's public key.
  • [0194]
    d. SK_B is Bob's private key.
  • [0195]
    When Alice sends Bob a message through anonymous mix 180, the following takes place:
      • a. Alice wishes to send message T to Bob anonymously. She first forms:
        • K0=a random session key.
        • P0=an all-zero string of some random length.
        • X0=PKE_{PK_M}(K0).
        • M0=X0,E_{K0}(ID_B,P0,T).
      • Alice then sends M0 to the anonymous mix 180. Note that Alice may also have encrypted and digitally signed the message she's sending to Bob. This has no bearing at all on how the anonymous mix 180 processes it. P0 disguises the size of the message, making it impossible to correlate incoming messages with outgoing messages.
      • b. Anonymous mix 180 receives M0. Using X0, anonymous mix 180 decodes the random session key K0 using anonymous mix 180 private key SK_M and then using K0, ID_B, T and P0 are decrypted. The anonymous mix 180 looks up Bob's public key from ID_B, and then forms:
        • K1=a random session key.
        • P1=an all-zero string of some random length.
        • X1=PKE_{PK_B}(K1).
        • M1=X1, E_{K1}(P1,T)
      • Anonymous mix 180 waits some random amount of time before sending M1 to Bob. During this time, it is processing many other messages, both sending and receiving them.
      • c. Bob receives M1. He decrypts it using his private key, SK_B and recovers T. He then does whatever he needs to with T.
  • [0209]
    In order to make messages anonymous that pass through an intermediary anonymous mix 180, a large volume of messages coming in and out are reviewed. A random delay involved in forwarding those messages is also required. Otherwise, it is possible for an opponent to watch messages going into and coming out of anonymous mix 180, using this information to determine the source and destination of each message. Similarly, messages must be encrypted to the anonymous mix 180, so that the messages can be decrypted and re-encrypted with a different key. Also, messages may need to be broken into many pieces or padded with large blocks of data, to avoid having message lengths give away information.
  • [0210]
    Another embodiment of the present invention uses anonymous mix 180 as part of a protocol to maintain anonymity between two people using a trusted third party, such as central controller 200 using public-key cryptography for encryption and digital signatures. The exact algorithms are unimportant at the protocol level. All public keys are signed by a certification authority like central controller 200. Certificates can be sent with messages and different keys can be used for encryption and digital signatures. The trusted third party knows everyone's public key and everyone knows the third party's public key. Anonymous mix 180 either knows everyone's public keys or their public keys are sent along with their identities. Everyone is assumed to know anonymous mix 180's public keys. An example of the trusted third party protocol is illustrated below.
  • [0211]
    A Trusted Third Party Protocol Using Anonymous Mix 180
  • DEFINITIONS
  • [0000]
      • a. Alice is the end user.
      • b. Bob is the qualified expert.
      • c. Carol is the trusted third party (central controller) coordinating the whole thing.
        • Keys used in this protocol:
        • PK_M is anonymous mix 180 public key.
        • ID_A is Alice's ID.
        • PK_A is Alice's public key.
        • SK_A is Alice's private key.
        • ID_B is Bob's ID.
        • PK_B is Bob's public key.
        • SK_B is Bob's private key.
        • PK_C is Carol's public key.
      • a. Alice creates some submission, S. This may be an end user request 120 or material for review by an expert. Alice then forms:
        • K2=a random session key. This is an additional random session key and should not be confused with the key (K0) Alice uses to send the message to the anonymous mix 180.
        • R0=a random challenge either generated by Alice or given to her by someone else, depending on the application. In this case, central controller 200 will provide the end user (Alice) with a unique password to be used when Alice is to receive expert answer 130.
        • X0=PKE_{PK_C}(K2) encrypted under Carol's public key.
        • X1=SIGN {SK_A}(ID_A,R0,S).
        • M0=X0,E_{K2}(ID_A,R0,S,X1).
      • She sends M0 to Carol via anonymous mix 180.
      • b. Carol receives M0 and decrypts it using her private key, the random session key K2, and verifies the signature. As central controller 200, she selects Bob out of all qualified experts available. She then forms:
        • K3=a random session key.
        • N=a random end user request 120 identifier.
        • T=a time stamp.
        • X2=PKE_{PK_B}(K3) encrypted under Bob's public key.
        • X3=SIGN_{SK_C}(ID_C,N,T,S)
        • X4=E_{K3}(ID_C,N,T,S,X3)
        • M1=X2,X4.
      • She sends M1 to Bob via anonymous mix 180. She stores N, ID_A, and T for future reference.
      • c. Bob receives M1. He decrypts it using his private key, the random session key K3, and verifies the signature and time stamp. He then answers end user request 120. When he is finished, he has formed an expert answer G. He then forms:
        • K4=a random session key.
        • X5=PKE_{PK_C}(K4) encrypted under Carol's public key.
        • X6=SIGN_{SK_B}(ID_B,N,G)
        • X7=E_{K4}(ID_B,N,G,X6)
        • M2=X5,X7.
      • d. Carol receives M2. She decrypts it using her private key, the random session key K4, and verifies the signature. She searches for the matching N among her currently active submissions. If she doesn't find it, an error has occurred, and someone will need to follow up, but the protocol ends. If she does find it, however, she notes that Bob has answered end user request 120 (so he can be paid for it). Carol then looks up Alice's challenge (R0), address, and time stamp, and forms:
        • K5=a random session key.
        • X8=PKE_{PK_A}(K5) encrypted under Alice's public key.
        • X9=SIGN_{SK_C}(ID_A,R0,T,S,G).
        • M3=X8,E_{K5}(ID_A,R0,T,S,G),X9.
      • e. Alice receives M3, and verifies the signature. She now has an authenticated expert answer 130, along with a time stamp to show when she submitted it.
  • [0252]
    By using a trusted third party and an anonymous mix 180, the identity of the end user and the expert is preserved. Although we have described only one possible method for maintaining anonymity, there are other equivalents. For example, if the embodiment included telephone messaging, the identity of the end user and expert could be maintained using conventional voice modification techniques. If end user request 120 or expert answer 130 were in a paper form, the form could be scanned using optical character recognition and translated into digital form, discarding any information that could be found in the original document.
  • [0253]
    Anonymity may also serve to prevent an end user and expert from contacting each other outside the system in order to ensure that payment is received for bringing the two parties together. In this embodiment, central controller 200 forces anonymity by blinding one or both parties. The expert, for example, may not see the name of the end user until expert answer 130 has been transmitted.
  • Selection Methods Embodiment
  • [0254]
    In one embodiment of the present invention, a protocol is described in which end users select the experts to which end user request 120 is transmitted. Additionally, bidding and negotiating protocols are described which allow end users to select the most appropriate expert to create expert answer 130, once responses are received from experts willing to provide expert answer 130.
  • [0255]
    After the list of qualified experts has been generated by central controller 200 at step 770, the end user may directly choose one or more experts to produce expert answer 130. The end user might connect to the web page of central controller 200, selecting experts from a list of qualified experts. Likewise, the expert can choose which end user requests 120 to provide an expert answer 130.
  • [0256]
    In one method of the present invention, central controller 200 uses end user profile 150 to select the experts. End user profile 150 represents rules for unattendant handling of transactions and is stored in end user database 260. For example, the end user might want to select the first expert to reply, the three least expensive experts, the most expensive expert, or the expert with the highest expert qualifications 140 from expert qualifications database 285. The end user could also require a minimum number of experts, or that he wants everyone who accepts end user request 120 within twenty minutes. These rules are stored in end user profile 150, allowing central controller 200 to automate more of the selection process.
  • [0257]
    In order to select from among many experts responding to end user request 120, bidding protocols can be used in which the expert has an expert profile 155 that is used to decide which end user requests 120 will be accepted or rejected. Expert profile 155 includes automatic bid amounts, minimum completion times, or automatic acceptances for high priced end user requests 120. For example, when end user request 120 is sent to the expert, central controller 200 automatically submits a bid or rejection based on expert profile 155.
  • [0258]
    End user profile 150 may contain bidding rules as well, such as excluding bids above or below a predetermined amount. The end user can also specify that he only wants experts willing to negotiate the price for responses, or that the experts must engage in an active bidding session in order to get his business.
  • [0259]
    Another method for end users and experts to select each other is a negotiation protocol. This negotiation can occur in any of the previously described embodiments and can involve negotiating for time, price, or any other factors important to the expert or end user. FIGS. 30, 31 and 32 describe alternative embodiments of the negotiating protocols of the present invention.
  • [0260]
    FIG. 30 shows a bidding embodiment where the end user creates end user request 120 that includes a requirement that the experts bid on the response. The end user then decides which expert to use based on the expert's bids. A higher bid could mean that the expert is more qualified to respond or that the expert will provide a higher quality response. At step 3000, the end user creates end user request 120. At step 3010 end user request 120 and bid request 160 are transmitted to the appropriate experts using those methods described in earlier embodiments. In the asynchronous communications embodiment, for example, the end user transmits end user request 120 at step 650.
  • [0261]
    Each expert then has an opportunity to bid on or reject the end user's end user request 120 at step 3020. If the expert rejects end user request 120, notification is sent to central controller 200 at step 3030. If the expert chooses to bid on end user request 120, the bid offer 165 is sent to central controller 200 to be combined with bid offers 165 from other experts at step 3040. Central controller 200 then sends bid offers 165 to the end user at step 3050. At step 3060, the end user chooses from among bid offers 165 and selects an expert to answer end user request 120. The end user's choice is then transmitted to central controller 200 and the expert is notified of acceptance at step 3070. Alternatively, the end user instructs central controller 200 to automatically accept the lowest bid offer 165, highest bid offer 165, or any bid offer 165 that satisfies attached criteria 117 or end user profile 150. The end user, therefore, does not need to be directly involved in the bidding at all.
  • [0262]
    In the above procedure, the expert is directly involved in the bidding process. In an alternative embodiment the expert's profile 155 is stored in expert database 255. Based on expert profile 155, central controller 200 automatically directs the bidding process. For example, a lawyer might establish expert profile 155 which automatically bids two hundred dollars for any end user request 120 regarding wills, except for those requiring completion in two hours or less.
  • [0263]
    FIG. 31 shows an auctioning embodiment where the end users create end user requests 120 and submit them to central controller 200 as shown at steps 3100 and 3110. End user requests 120 are sent to a pool of qualified experts who simultaneously submit bid offers 165 on end user request 120 at step 3120. There may be a number of auction rounds (known as a repeated auction) in which experts have a chance to submit new bid offers 165. This contrasts with the one-shot auction described in FIG. 30, where there is only one round of bidding. Each expert sees his bid offer 165 as well as the other experts' bid offers 165. In this way, end user request 120 is auctioned off to the lowest bidder. Once the lowest bid offer 165 is determined at step 3130, the end user is notified of the bid offer 165 at step 3140.
  • [0264]
    FIG. 32 shows a bidding embodiment where the end user is bidding for an expert's time. If an end user needed a level 6 patent lawyer for example, he may be faced with a supply and demand imbalance if there are only four or five in the whole country. Since these lawyers may only be able to reply to one end user request 120 a day, the end users may have to bid for the experts' attention. When the expert logs into the system, letters of interest from users are transmitted to expert interface 400. These letters of interest are communications which describe the specific expert that the end user wants, as well as a bid for his services. The expert transmits a message to central controller 200 to find the highest end user bid offer 165 and retrieves the end user's end user request 120.
  • [0265]
    At step 3200, the end user submits a letter of interest to central controller 200 that includes criteria 117 and starting bid offer 165. At step 3210 central controller 200 searches to find matching experts in expert qualifications database 285 and submits a message to each expert who qualifies at step 3220. The expert automatically receives a list of end users and their letters of interest from central controller 200 at step 3230. At step 3240, the expert can either choose to respond to the letter of interest directly at step 3250 (based on initial bid offer 165) or send central controller 200 a bid request 160 at step 3260.
  • [0266]
    The end user bid offers 165 are transmitted back to the experts via central controller 200 at step 3270. The process continues at step 3240 with the expert choosing to either accept end user bid offer 165 or ask for new end user bid offers 165. In this way, the expert maximizes his earnings while the end user has access to highly recruited experts.
  • [0267]
    Another form of negotiation is shown in FIG. 33. Here, the end users negotiate the price of a particular end user request 120. The end user submits end user request 120 at step 3300. Central controller 200 processes end user request 120 and transmits it to an expert at step 3310. The expert reviews end user request 120 at step 3320 and decides whether to accept end user request 120, or ask for a higher price. If the expert accepts end user request 120, the end user is notified at step 3330. If the expert wants a higher price, the end user is notified at step 3340 of the price the expert expects. The expert can also suggest a way to reduce the cost by eliminating part of end user request 120. For example, end user request 120 may be significantly less complicated if a portion of it is changed or eliminated.
  • [0268]
    At step 3350, the end user can either decide to increase the amount of bid offer 165, or modify end user request 120 to see if he can reduce the cost. In either case, the end user resubmits end user request 120 at 3310. This iterative negotiation process continues until the end user either accepts the expert's terms or decides to retract end user request 120.
  • [0269]
    Although the bidding systems described above are based on price, alternative systems can be based on response time, quality of expert answer 130, whether the expert is willing to contact the end user directly, how many follow up end user requests 120 would be accepted, etc. The end user specifies which type of bidding is desired and central controller 200 makes the appropriate adjustments to bid request 160.
  • [0270]
    The above auction protocols are meant to be illustrative, and do not represent all of the possible protocols. If the end user is seeking multiple expert answers 130 to a given end user request 120, for example, there are auction protocols to handle the additional complexity. A uniform auction, for example, sells each opportunity for expert answer 130 at the second-highest bid. Other formats such as “Dutch” auctions are equally applicable.
  • [0271]
    The bidding process can be used with any of the previously described embodiments, using either an asynchronous or synchronous communications embodiment.
  • [0272]
    Once the end user and expert have agreed on the price, the process of billing authorization and expert answer 130 transmission follows the process described in the previous embodiments of the present invention such as those described in FIG. 9. If the end user has selected multiple experts to receive his end user request 120, it will be transmitted to all the selected experts.
  • Customer Satisfaction Embodiment
  • [0273]
    Although the previous embodiments have described the delivery of expert answer 130 as the end of the process, the present invention allows for follow-up procedures to ensure that the end user is satisfied with the quality of expert answer 130. Such procedures include review of end user complaints by higher-level experts, as well as periodic testing of experts by central controller 200 to verify competence. FIGS. 34 and 35 describe these procedures in more detail.
  • [0274]
    FIG. 34 describes a peer review process in which a sampling of expert answers 130 are reviewed for compliance with quality standards. In this respect it is similar to a factory which tests a sample of product as the come off the assembly line, adjusting machines on the line if quality drops. At step 3400, central controller 200 establishes a schedule for expert answer 130 review. This schedule might indicate that every seventh expert answer 130 received is reviewed, or a random schedule could be generated so that the expert does not know in advance which expert answer 130 will be reviewed. The schedule applies to every expert answer 130 received from a given expert, ensuring that no expert goes unreviewed.
  • [0275]
    At step 3410, the expert transmits expert answer 130 to central controller 200 which determines whether or not expert answer 130 was scheduled for review. Central controller 200 searches expert database 255 at step 3420, noting the number of expert answers 130 already submitted by that expert. If it was not scheduled for review, expert answer 130 is simply transmitted to the end user at step 3430, and the review process is not initiated. If it is scheduled for review, a copy of expert answer 130 is routed to a randomly selected reviewing expert of comparable expert qualifications 140 at step 3440, while the original expert answer 130 is transmitted to the end user so that the review process does not extend the completion time of end user request 120.
  • [0276]
    The reviewing expert decides whether or not expert answer 130 provided is acceptable at step 3450, with a positive evaluation prompting central controller 200 to update expert database 255 to indicate satisfactory completion of one quality check at step 3460. If expert answer 130 is found unsatisfactory at step 3460, central controller 200 updates expert database 255 to indicate the negative results of the quality check at step 3470. In addition, a notice is transmitted to the expert at step 3480 reprimanding him for poor quality. A given number of reprimands may result in the expulsion or temporary suspension of the expert, or in a lowering of his expert qualification 140 level.
  • [0277]
    Referring now to FIG. 35, there is described a procedure for handling end user complaints about the quality of responses received. At step 3500, expert answer 130 is transmitted to the end user. At step 3510, the end user discovers that expert answer 130 is unsatisfactory, sending back expert answer 130 to central controller 200 at step 3520. An expert answer 130 may be unacceptable because it is not complete, is factually incorrect, etc. Central controller 200 then randomly selects an expert at step 3530 whose expert qualifications 140 are equal to or higher than the expert who originally produced expert answer 130. The chosen evaluating expert then evaluates expert answer 130 in relation to end user request 120 at step 3540, judging whether or not expert answer 130 is acceptable. If it is judged acceptable, the evaluating expert transmits a written opinion regarding the evaluation to central controller 200 at step 3550, whereupon the opinion is then transmitted to the end user at step 3560, along with a denial of his appeal. To prevent further escalation if the end user is still unsatisfied, central controller 200 may require the end user at time of registration to agree to accept the results of this arbitration process.
  • [0278]
    If expert answer 130 is judged unacceptable at step 3540, central controller 200 refunds the price of expert answer 130 to the end user at step 3570, or submits the original end user request 120 to another qualified expert. At step 3580, payment processor 230 sends a message to the expert indicating that the money received for that expert answer 130 will be deducted from any future payments. Included with this message is a copy of the opinion letter written by the evaluating expert.
  • [0279]
    Those skilled in the art will recognize that the method and apparatus of the present invention has many applications, and that the present invention is not limited to the representative examples disclosed herein. Moreover, the scope of the present invention covers conventionally known variations and modifications to the system components described herein, as would be known by those skilled in the art.

Claims (18)

1-12. (canceled)
13. A method of providing payment to an expert for a response to an end user request, comprising:
by a controller, storing in a database data relating to a plurality of experts, said data including, for each expert, a corresponding name, address, and qualification;
receiving at the controller an end user request from an end user; posting, by the controller, at least a portion of the end user request on a web page;
receiving, by the controller, a response to the end user request from a first expert identified in the database; and
compensating the first expert for the response.
14. The method of claim 13, further comprising receiving, by the controller, a ranking of the response.
15. The method of claim 13, further comprising transmitting, by the controller, the response received from the first expert to a second expert for review.
16. The method of claim 13, further comprising decrypting the response received from the first expert.
17. The method of claim 13, further comprising decrypting the end user request.
18. The method of claim 13, further comprising, by the controller, archiving the response received from the first expert.
19. The method of claim 13, further comprising, by the controller, archiving the end user request.
20. The method of claim 13, further comprising receiving payment from the end user.
21-32. (canceled)
33. An apparatus for providing payment to an expert who provides a response to an end user request, comprising a controller having a database storing data relating to a plurality of experts, said data including, for each expert, a corresponding name, address, and qualification, the controller configured to receive an end user request from an end user, post at least a portion of the end user request on a web page, receive a response to the end user request from a first expert identified in the database; and compensate the first expert for the response.
34. The apparatus of claim 33, wherein the controller is further configured to receive a ranking of the response.
35. The apparatus of claim 33, wherein the controller is further configured to transmit the response received from the first expert to a second expert for review.
36. The apparatus of claim 33, wherein the controller is further configured to decrypt the response received from the first expert.
37. The apparatus of claim 33, wherein the controller is further configured to decrypt the end user request.
38. The apparatus of claim 33, wherein the controller is further configured to archive the response received from the first expert.
39. The apparatus of claim 33, wherein the controller is further configured to archive the end user request.
40. The apparatus of claim 33, wherein the controller is further configured to receive payment from the end user.
US14095876 1996-07-24 2013-12-03 Method and apparatus for cryptographically-assisted commercial network system designed to facilitate and support expert-based commerce Abandoned US20140089176A1 (en)

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US08685706 US5862223A (en) 1996-07-24 1996-07-24 Method and apparatus for a cryptographically-assisted commercial network system designed to facilitate and support expert-based commerce
US09112131 US7523045B1 (en) 1996-07-24 1998-07-08 Method and apparatus for a cryptographically assisted commercial network system designed to facilitate and support expert-based commerce
US11423753 US8326765B2 (en) 1996-07-24 2006-06-13 Method and apparatus for a cryptographically-assisted commercial network system designed to facilitate and support expert-based commerce
US13605863 US8626667B2 (en) 1996-07-24 2012-09-06 Method and apparatus for a cryptographically-assisted commercial network system designed to facilitate and support expert-based commerce
US14095876 US20140089176A1 (en) 1996-07-24 2013-12-03 Method and apparatus for cryptographically-assisted commercial network system designed to facilitate and support expert-based commerce

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US08685706 Expired - Lifetime US5862223A (en) 1996-07-24 1996-07-24 Method and apparatus for a cryptographically-assisted commercial network system designed to facilitate and support expert-based commerce
US09110626 Expired - Lifetime US6093026A (en) 1996-07-24 1998-07-06 Method and apparatus for administering a survey
US09112131 Expired - Fee Related US7523045B1 (en) 1996-07-24 1998-07-08 Method and apparatus for a cryptographically assisted commercial network system designed to facilitate and support expert-based commerce
US09396155 Expired - Lifetime US6616458B1 (en) 1996-07-24 1999-09-14 Method and apparatus for administering a survey
US11423753 Active 2020-09-23 US8326765B2 (en) 1996-07-24 2006-06-13 Method and apparatus for a cryptographically-assisted commercial network system designed to facilitate and support expert-based commerce
US11423758 Abandoned US20060235793A1 (en) 1996-07-24 2006-06-13 Method and apparatus for a cryptographically-assisted commerical network system designed to facilitate and support expert-based commerce
US11423763 Abandoned US20060224510A1 (en) 1996-07-24 2006-06-13 Method and apparatus for a cryptographically-assisted commerical network system designed to facilitate and support expert-based commerce
US13605863 Expired - Lifetime US8626667B2 (en) 1996-07-24 2012-09-06 Method and apparatus for a cryptographically-assisted commercial network system designed to facilitate and support expert-based commerce
US14095876 Abandoned US20140089176A1 (en) 1996-07-24 2013-12-03 Method and apparatus for cryptographically-assisted commercial network system designed to facilitate and support expert-based commerce

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US08685706 Expired - Lifetime US5862223A (en) 1996-07-24 1996-07-24 Method and apparatus for a cryptographically-assisted commercial network system designed to facilitate and support expert-based commerce
US09110626 Expired - Lifetime US6093026A (en) 1996-07-24 1998-07-06 Method and apparatus for administering a survey
US09112131 Expired - Fee Related US7523045B1 (en) 1996-07-24 1998-07-08 Method and apparatus for a cryptographically assisted commercial network system designed to facilitate and support expert-based commerce
US09396155 Expired - Lifetime US6616458B1 (en) 1996-07-24 1999-09-14 Method and apparatus for administering a survey
US11423753 Active 2020-09-23 US8326765B2 (en) 1996-07-24 2006-06-13 Method and apparatus for a cryptographically-assisted commercial network system designed to facilitate and support expert-based commerce
US11423758 Abandoned US20060235793A1 (en) 1996-07-24 2006-06-13 Method and apparatus for a cryptographically-assisted commerical network system designed to facilitate and support expert-based commerce
US11423763 Abandoned US20060224510A1 (en) 1996-07-24 2006-06-13 Method and apparatus for a cryptographically-assisted commerical network system designed to facilitate and support expert-based commerce
US13605863 Expired - Lifetime US8626667B2 (en) 1996-07-24 2012-09-06 Method and apparatus for a cryptographically-assisted commercial network system designed to facilitate and support expert-based commerce

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070192126A1 (en) * 2006-01-25 2007-08-16 Infosys Technologies, Ltd. System and method for partner inclusion into an enterprise network
WO2016086187A3 (en) * 2014-11-25 2016-07-14 Pluralsight, LLC Providing mentor assistance in an embedded marketplace

Families Citing this family (1110)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8626605B2 (en) 1999-05-12 2014-01-07 Ewinwin, Inc. Multiple criteria buying and selling model
US7693748B1 (en) 1991-06-03 2010-04-06 Ewinwin, Inc. Method and system for configuring a set of information including a price and volume schedule for a product
US5453601A (en) 1991-11-15 1995-09-26 Citibank, N.A. Electronic-monetary system
US5974391A (en) * 1994-07-12 1999-10-26 Fujitsu Limited Device and method for project management
US5710000A (en) * 1994-09-16 1998-01-20 Affymetrix, Inc. Capturing sequences adjacent to Type-IIs restriction sites for genomic library mapping
US6571279B1 (en) * 1997-12-05 2003-05-27 Pinpoint Incorporated Location enhanced information delivery system
US5758257A (en) * 1994-11-29 1998-05-26 Herz; Frederick System and method for scheduling broadcast of and access to video programs and other data using customer profiles
JP3486043B2 (en) * 1996-03-11 2004-01-13 株式会社東芝 Method of operation of the software distribution system and software system
US5862223A (en) * 1996-07-24 1999-01-19 Walker Asset Management Limited Partnership Method and apparatus for a cryptographically-assisted commercial network system designed to facilitate and support expert-based commerce
US6513014B1 (en) * 1996-07-24 2003-01-28 Walker Digital, Llc Method and apparatus for administering a survey via a television transmission network
US6266640B1 (en) * 1996-08-06 2001-07-24 Dialogic Corporation Data network with voice verification means
CN1171187C (en) * 1996-09-25 2004-10-13 教育公司 Automated testing and electronic instructional delivery and student management system
US6804489B2 (en) * 1996-09-25 2004-10-12 Laureate Education, Inc. Learning system and method for teacher load balancing
US6729885B2 (en) 1996-09-25 2004-05-04 Sylvan Learning Systems, Inc. Learning system and method for engaging in concurrent interactive and non-interactive learning sessions
US6733296B2 (en) 1996-09-25 2004-05-11 Sylvan Learning Systems, Inc. Learning system and method for holding incentive-based learning
US8342854B2 (en) * 1996-09-25 2013-01-01 Educate Online Technology, Llc Language-based computer generated instructional material
US6733295B2 (en) 1996-09-25 2004-05-11 Sylvan Learning Systems, Inc. Learning system for enabling separate teacher-student interaction over selected interactive channels
US20030198930A1 (en) * 1997-09-24 2003-10-23 Sylvan Learning Systems, Inc. System and method for conducting a learning session based on a teacher privilege
US6862625B1 (en) * 1996-09-27 2005-03-01 Avaya Technology Corp. Method and apparatus for real time network communication
JPH10177594A (en) * 1996-10-15 1998-06-30 Pfu Ltd Will information management open processing system and method, and program storage medium for the system and method
US6016307A (en) 1996-10-31 2000-01-18 Connect One, Inc. Multi-protocol telecommunications routing optimization
US6473404B1 (en) * 1998-11-24 2002-10-29 Connect One, Inc. Multi-protocol telecommunications routing optimization
US6282515B1 (en) * 1996-11-08 2001-08-28 Gregory J. Speicher Integrated audiotext-internet personal ad services
US6243375B1 (en) * 1996-11-08 2001-06-05 Gregory J. Speicher Internet-audiotext electronic communications system with multimedia based matching
US20050190934A1 (en) * 2001-07-11 2005-09-01 Speicher Gregory J. Internet-audiotext electronic advertising system with respondent mailboxes
US6690654B2 (en) 1996-11-18 2004-02-10 Mci Communications Corporation Method and system for multi-media collaboration between remote parties
US6754181B1 (en) 1996-11-18 2004-06-22 Mci Communications Corporation System and method for a directory service supporting a hybrid communication system architecture
US6335927B1 (en) 1996-11-18 2002-01-01 Mci Communications Corporation System and method for providing requested quality of service in a hybrid network
US6731625B1 (en) 1997-02-10 2004-05-04 Mci Communications Corporation System, method and article of manufacture for a call back architecture in a hybrid network with support for internet telephony
US6480600B1 (en) 1997-02-10 2002-11-12 Genesys Telecommunications Laboratories, Inc. Call and data correspondence in a call-in center employing virtual restructuring for computer telephony integrated functionality
USRE46243E1 (en) 1997-02-10 2016-12-20 Genesys Telecommunications Laboratories, Inc. In-band signaling for routing
US6104802A (en) 1997-02-10 2000-08-15 Genesys Telecommunications Laboratories, Inc. In-band signaling for routing
US7031442B1 (en) 1997-02-10 2006-04-18 Genesys Telecommunications Laboratories, Inc. Methods and apparatus for personal routing in computer-simulated telephony
USRE46528E1 (en) 1997-11-14 2017-08-29 Genesys Telecommunications Laboratories, Inc. Implementation of call-center outbound dialing capability at a telephony network level
US6247129B1 (en) * 1997-03-12 2001-06-12 Visa International Service Association Secure electronic commerce employing integrated circuit cards
US6604124B1 (en) * 1997-03-13 2003-08-05 A:\Scribes Corporation Systems and methods for automatically managing work flow based on tracking job step completion status
US7756721B1 (en) 1997-03-14 2010-07-13 Best Doctors, Inc. Health care management system
US6256613B1 (en) * 1997-03-14 2001-07-03 Health Resources And Technology Inc. Medical consultation management system
US6311215B1 (en) * 1997-03-25 2001-10-30 Intel Corporation System for dynamic determination of client communications capabilities
JP3780610B2 (en) * 1997-03-28 2006-05-31 富士通株式会社 Billing information output device
US6049787A (en) * 1997-03-31 2000-04-11 Hitachi, Ltd. Electronic business transaction system with notarization database and means for conducting a notarization procedure
US6477513B1 (en) * 1997-04-03 2002-11-05 Walker Digital, Llc Method and apparatus for executing cryptographically-enabled letters of credit
US6564383B1 (en) * 1997-04-14 2003-05-13 International Business Machines Corporation Method and system for interactively capturing organizing and presenting information generated from television programs to viewers
US5873071A (en) * 1997-05-15 1999-02-16 Itg Inc. Computer method and system for intermediated exchange of commodities
US6119103A (en) * 1997-05-27 2000-09-12 Visa International Service Association Financial risk prediction systems and methods therefor
US6026148A (en) * 1997-05-28 2000-02-15 Blue Grotto Technologies, Inc. System and method for delivering expert information by computer
US6161099A (en) 1997-05-29 2000-12-12 Muniauction, Inc. Process and apparatus for conducting auctions over electronic networks
JP3060996B2 (en) * 1997-05-30 2000-07-10 日本電気株式会社 Wireless data communication device
US6012045A (en) * 1997-07-01 2000-01-04 Barzilai; Nizan Computer-based electronic bid, auction and sale system, and a system to teach new/non-registered customers how bidding, auction purchasing works
US6058379A (en) * 1997-07-11 2000-05-02 Auction Source, L.L.C. Real-time network exchange with seller specified exchange parameters and interactive seller participation
US6249775B1 (en) * 1997-07-11 2001-06-19 The Chase Manhattan Bank Method for mortgage and closed end loan portfolio management
US6266659B1 (en) * 1997-08-07 2001-07-24 Uday P. Nadkarni Skills database management system and method
US6049783A (en) * 1997-08-08 2000-04-11 Power Financial Group, Inc. Interactive internet analysis method
US6021428A (en) * 1997-09-15 2000-02-01 Genesys Telecommunications Laboratories, Inc. Apparatus and method in improving e-mail routing in an internet protocol network telephony call-in-center
US6308206B1 (en) * 1997-09-17 2001-10-23 Hewlett-Packard Company Internet enabled computer system management
US7225463B2 (en) * 1997-10-24 2007-05-29 Dusenbury Jr Richard G Secure network architecture method and apparatus
US6189101B1 (en) * 1997-10-24 2001-02-13 Richard G. Dusenbury, Jr. Secure network architecture method and apparatus
US5974415A (en) * 1997-11-10 1999-10-26 International Business Machines System and method for computer-aided heuristic adaptive attribute matching
US6128624A (en) * 1997-11-12 2000-10-03 Ncr Corporation Collection and integration of internet and electronic commerce data in a database during web browsing
US6076100A (en) * 1997-11-17 2000-06-13 Microsoft Corporation Server-side chat monitor
JP4006796B2 (en) * 1997-11-17 2007-11-14 株式会社日立製作所 Personal information management method and apparatus
US6233317B1 (en) * 1997-12-11 2001-05-15 Unisys Corporation Multiple language electronic mail notification of received voice and/or fax messages
US20050114705A1 (en) * 1997-12-11 2005-05-26 Eran Reshef Method and system for discriminating a human action from a computerized action
US6128646A (en) * 1997-12-24 2000-10-03 Genesys Telecommunications Laboratories Inc. System for routing electronic mail to best qualified person based on content analysis
US6098053A (en) * 1998-01-28 2000-08-01 Citibank, N.A. System and method for performing an electronic financial transaction
US20060010136A1 (en) * 1999-01-28 2006-01-12 Deangelo Michael System and method for creating and manipulating information containers with dynamic registers
US7010536B1 (en) * 1998-01-30 2006-03-07 Pattern Intelligence, Inc. System and method for creating and manipulating information containers with dynamic registers
GB9801978D0 (en) * 1998-01-30 1998-03-25 Orbital Technologies Limited Information systems
US9008075B2 (en) 2005-12-22 2015-04-14 Genesys Telecommunications Laboratories, Inc. System and methods for improving interaction routing performance
US7907598B2 (en) 1998-02-17 2011-03-15 Genesys Telecommunication Laboratories, Inc. Method for implementing and executing communication center routing strategies represented in extensible markup language
US6353812B2 (en) 1998-02-19 2002-03-05 Certco, Inc. Computer-based method and system for aiding transactions
US6993495B2 (en) 1998-03-02 2006-01-31 Insightexpress, L.L.C. Dynamically assigning a survey to a respondent
US6477504B1 (en) 1998-03-02 2002-11-05 Ix, Inc. Method and apparatus for automating the conduct of surveys over a network system
JP3916749B2 (en) * 1998-03-11 2007-05-23 富士通株式会社 Work mediation device and a recording medium
US6697103B1 (en) * 1998-03-19 2004-02-24 Dennis Sunga Fernandez Integrated network for monitoring remote objects
US6170014B1 (en) * 1998-03-25 2001-01-02 Community Learning And Information Network Computer architecture for managing courseware in a shared use operating environment
US6438580B1 (en) * 1998-03-30 2002-08-20 Electronic Data Systems Corporation System and method for an interactive knowledgebase
US6618746B2 (en) * 1998-03-30 2003-09-09 Markettools, Inc. Survey communication across a network
US6154727A (en) * 1998-04-15 2000-11-28 Cyberhealth, Inc. Visit verification
US6243480B1 (en) * 1998-04-30 2001-06-05 Jian Zhao Digital authentication with analog documents
US7039805B1 (en) * 1998-05-20 2006-05-02 Messing John H Electronic signature method
US6892300B2 (en) * 1998-06-04 2005-05-10 International Business Machines Corporation Secure communication system and method of operation for conducting electronic commerce using remote vault agents interacting with a vault controller
US6185542B1 (en) * 1998-07-31 2001-02-06 Lucent Technologies Inc. Communication of transaction data via the internet
JP2003502764A (en) * 1999-06-23 2003-01-21 アリバ インコーポレイテッド A method and apparatus for the trading market design and placement
US6285989B1 (en) 1998-08-07 2001-09-04 Ariba, Inc. Universal on-line trading market design and deployment system
US7558752B1 (en) 1998-08-07 2009-07-07 Ariba, Inc. Method and an apparatus for a trading market design and deployment system
US6226618B1 (en) * 1998-08-13 2001-05-01 International Business Machines Corporation Electronic content delivery system
US6243713B1 (en) * 1998-08-24 2001-06-05 Excalibur Technologies Corp. Multimedia document retrieval by application of multimedia queries to a unified index of multimedia data for a plurality of multimedia data types
US6332154B2 (en) 1998-09-11 2001-12-18 Genesys Telecommunications Laboratories, Inc. Method and apparatus for providing media-independent self-help modules within a multimedia communication-center customer interface
USRE46387E1 (en) 1998-09-11 2017-05-02 Genesys Telecommunications Laboratories, Inc. Method and apparatus for extended management of state and interaction of a remote knowledge worker from a contact center
US6985943B2 (en) 1998-09-11 2006-01-10 Genesys Telecommunications Laboratories, Inc. Method and apparatus for extended management of state and interaction of a remote knowledge worker from a contact center
USRE46153E1 (en) 1998-09-11 2016-09-20 Genesys Telecommunications Laboratories, Inc. Method and apparatus enabling voice-based management of state and interaction of a remote knowledge worker in a contact center environment
US6711611B2 (en) 1998-09-11 2004-03-23 Genesis Telecommunications Laboratories, Inc. Method and apparatus for data-linking a mobile knowledge worker to home communication-center infrastructure
US6230146B1 (en) * 1998-09-18 2001-05-08 Freemarkets, Inc. Method and system for controlling closing times of electronic auctions involving multiple lots
US7395238B2 (en) * 1999-02-19 2008-07-01 Ariba, Inc. Method and system for controlling an electronic auction during the transition to a closed state
US7225152B2 (en) * 1999-02-19 2007-05-29 Ariba, Inc. Method, apparatus, and system for varying an award volume in an auction
US7383206B2 (en) * 1999-02-19 2008-06-03 Ariba, Inc. Method and apparatus for multiple variable bidding in an online auction
US7499876B2 (en) * 1999-02-19 2009-03-03 Ariba, Inc. Method and apparatus for configurably adjusting a bid in an online auction
US6253202B1 (en) * 1998-09-18 2001-06-26 Tacit Knowledge Systems, Inc. Method, system and apparatus for authorizing access by a first user to a knowledge profile of a second user responsive to an access request from the first user
US7283980B2 (en) * 1999-05-14 2007-10-16 Ariba, Inc. Method and system for controlling the initiation and duration of overtime intervals in electronic auctions
US7599878B2 (en) * 1999-02-19 2009-10-06 Ariba, Inc. Method, apparatus, and system for bidding in rounds
US20020077959A1 (en) * 1999-02-19 2002-06-20 Marc Alaia Method and system for using line item bid limits in electonic auctions
RU2153191C2 (en) 1998-09-29 2000-07-20 Закрытое акционерное общество "Алкорсофт" Method for blind production of digital rsa signature and device which implements said method
US6236975B1 (en) * 1998-09-29 2001-05-22 Ignite Sales, Inc. System and method for profiling customers for targeted marketing
US7533064B1 (en) * 1998-10-07 2009-05-12 Paypal Inc. E-mail invoked electronic commerce
CA2287768C (en) * 1998-11-02 2004-01-13 Ahmed Abdoh Method for automated data collection, analysis and reporting
US6032136A (en) * 1998-11-17 2000-02-29 First Usa Bank, N.A. Customer activated multi-value (CAM) card
US6193518B1 (en) 1998-11-20 2001-02-27 Tina M. Nocera Method for developing answer-options to issue-questions relating to child-development
US7269584B2 (en) * 1998-11-26 2007-09-11 Settle Iii Peveril O Method and apparatus for managing conflicts of interest during the selection of legal and legal-related service providers
US7158944B1 (en) 1998-11-26 2007-01-02 Settle Iii Peveril O Method and apparatus for facilitating the selection of legal and legal-related service providers
US7451106B1 (en) * 1998-11-30 2008-11-11 E-Lynxx Corporation System and method for competitive pricing and procurement of customized goods and services
WO2000036535A1 (en) * 1998-12-16 2000-06-22 Cvbase Ag Method and system for structured processing of personal information
EP1131691A1 (en) * 1998-12-21 2001-09-12 Michael S. Blackstone System and method for performing substitute fulfillment information compilation and notification
US7065513B1 (en) * 1999-02-08 2006-06-20 Accenture, Llp Simulation enabled feedback system
US6567913B1 (en) * 1998-12-24 2003-05-20 Pitney Bowes Inc. Selective security level certificate meter
US6720990B1 (en) * 1998-12-28 2004-04-13 Walker Digital, Llc Internet surveillance system and method
JP2002533845A (en) * 1998-12-31 2002-10-08 アレクサイト・インコーポレイテッド Process for the formulation of the impact and health care professional information for the consumer
US6349295B1 (en) * 1998-12-31 2002-02-19 Walker Digital, Llc Method and apparatus for performing supplemental searches over a network
WO2000041103A1 (en) * 1998-12-31 2000-07-13 Perfecto Technologies Ltd. Method and system for discriminating a human action from a computerized action
US6584451B1 (en) 1999-01-12 2003-06-24 Ariba, Inc. Facilitator for aggregating buyer power in an on-line market system
USRE45371E1 (en) 1999-01-15 2015-02-10 Zanni Assets Limited Liability Company Method for online information sharing for completing electronic forms
EP1026603A3 (en) * 1999-02-02 2002-01-30 SmithKline Beecham Corporation Apparatus and method for depersonalizing information
WO2000046718A3 (en) * 1999-02-03 2000-12-28 Freightmart Com Corp A method and apparatus for handling shipping requests via the internet
US6421525B1 (en) * 1999-02-03 2002-07-16 Arthur C. Prewitt Enhanced learning aid
US6513042B1 (en) * 1999-02-11 2003-01-28 Test.Com Internet test-making method
US8086518B1 (en) 2000-12-29 2011-12-27 Ariba, Inc. Allotting an award volume in an auction
WO2000052556A3 (en) * 1999-03-03 2001-03-29 Priceline Com Inc Method and apparatus for processing recurring buyer offers in a demand collection commerce system
US7334184B1 (en) 1999-03-10 2008-02-19 American Express Travel Related Services Company, Inc. Method for online information sharing for completing electronic forms
US6295513B1 (en) 1999-03-16 2001-09-25 Eagle Engineering Of America, Inc. Network-based system for the manufacture of parts with a virtual collaborative environment for design, developement, and fabricator selection
CA2367320A1 (en) * 1999-03-19 2000-09-28 Trados Gmbh Workflow management system
US6223165B1 (en) * 1999-03-22 2001-04-24 Keen.Com, Incorporated Method and apparatus to connect consumer to expert
US7000106B2 (en) * 1999-03-26 2006-02-14 Siemens Communications, Inc. Methods and apparatus for kernel mode encryption of computer telephony
US7000179B2 (en) * 1999-03-27 2006-02-14 Movaris, Inc. Method and apparatus for programmatic learned routing in an electronic form system
US6704906B1 (en) * 1999-03-27 2004-03-09 Movaris, Inc. Self-directed routable electronic form system and method
US7840476B1 (en) 1999-03-31 2010-11-23 Ariba, Inc. Transformation bidding with tooling requirements
US7249085B1 (en) * 1999-03-31 2007-07-24 Ariba, Inc. Method and system for conducting electronic auctions with multi-parameter price equalization bidding
US6490577B1 (en) * 1999-04-01 2002-12-03 Polyvista, Inc. Search engine with user activity memory
US6907566B1 (en) 1999-04-02 2005-06-14 Overture Services, Inc. Method and system for optimum placement of advertisements on a webpage
WO2000065761A3 (en) * 1999-04-23 2001-04-05 Homegain Com A method and system for requesters to select a provider
US20010042088A1 (en) * 1999-04-26 2001-11-15 Robert N. Hotchkiss System implementing electronic review and approval of applications to perform nonstandard medical or veterinary procedures
US6325632B1 (en) 1999-05-05 2001-12-04 Anabas, Inc. Computer-aided learning method and systems matching students with instructors
US9477665B2 (en) 1999-05-05 2016-10-25 Virtual Creative Artists, LLC Revenue-generating electronic multi-media exchange and process of operating same
US7308413B1 (en) 1999-05-05 2007-12-11 Tota Michael J Process for creating media content based upon submissions received on an electronic multi-media exchange
US20120054012A1 (en) * 1999-05-12 2012-03-01 Ewinwin, Inc. e-COMMERCE VOLUME PRICING
US8732018B2 (en) * 1999-05-12 2014-05-20 Ewinwin, Inc. Real-time offers and dynamic price adjustments presented to mobile devices
US8140402B1 (en) 2001-08-06 2012-03-20 Ewinwin, Inc. Social pricing
CA2388385A1 (en) 1999-05-15 2000-11-23 John W.L. Ogilvie Automatic broker tools and techniques
US7334260B1 (en) * 1999-05-21 2008-02-19 Sony Corporation Information processing apparatus and method, and recording medium on which a program for executing the information processing is recorded
US7065500B2 (en) * 1999-05-28 2006-06-20 Overture Services, Inc. Automatic advertiser notification for a system for providing place and price protection in a search result list generated by a computer network search engine
US7702537B2 (en) * 1999-05-28 2010-04-20 Yahoo! Inc System and method for enabling multi-element bidding for influencing a position on a search result list generated by a computer network search engine
US7835943B2 (en) * 1999-05-28 2010-11-16 Yahoo! Inc. System and method for providing place and price protection in a search result list generated by a computer network search engine
US7035812B2 (en) * 1999-05-28 2006-04-25 Overture Services, Inc. System and method for enabling multi-element bidding for influencing a position on a search result list generated by a computer network search engine
US6401077B1 (en) 1999-05-28 2002-06-04 Network Commerce, Inc. Method and system for providing additional behavior through a web page
US6269361B1 (en) 1999-05-28 2001-07-31 Goto.Com System and method for influencing a position on a search result list generated by a computer network search engine
US7231358B2 (en) * 1999-05-28 2007-06-12 Overture Services, Inc. Automatic flight management in an online marketplace
US7225182B2 (en) 1999-05-28 2007-05-29 Overture Services, Inc. Recommending search terms using collaborative filtering and web spidering
US7797193B1 (en) 1999-06-10 2010-09-14 Simplexity, Llc Systems and methods for distributing telecommunication services via a network
US7076447B1 (en) 1999-06-10 2006-07-11 Inphonic, Inc. Systems and methods for aggregating buyers for the purchase of telecommunication services via a network
US6938022B1 (en) * 1999-06-12 2005-08-30 Tara C. Singhal Method and apparatus for facilitating an anonymous information system and anonymous service transactions
US7739123B1 (en) * 1999-06-18 2010-06-15 Microsoft Corporation Method, apparatus and system for providing health information
US20020007285A1 (en) * 1999-06-18 2002-01-17 Rappaport Alain T. Method, apparatus and system for providing targeted information in relation to laboratory and other medical services
EP1203273A4 (en) * 1999-06-22 2003-04-02 Transcomputing Internat Corp Event planning system
US7058817B1 (en) 1999-07-02 2006-06-06 The Chase Manhattan Bank System and method for single sign on process for websites with multiple applications and services
US6952682B1 (en) 1999-07-02 2005-10-04 Ariba, Inc. System and method for matching multi-attribute auction bids
US7296001B1 (en) 1999-07-12 2007-11-13 Ariba, Inc. Electronic multilateral negotiation system
US7660737B1 (en) 2000-07-18 2010-02-09 Smartpenny.Com, Inc. Economic filtering system for delivery of permission based, targeted, incentivized advertising
US8527337B1 (en) * 1999-07-20 2013-09-03 Google Inc. Internet based system and apparatus for paying users to view content and receiving micropayments
US7062462B1 (en) 1999-07-26 2006-06-13 The Chase Manhattan Bank On-line higher education financing system
US6598047B1 (en) * 1999-07-26 2003-07-22 David W. Russell Method and system for searching text
US6405175B1 (en) * 1999-07-27 2002-06-11 David Way Ng Shopping scouts web site for rewarding customer referrals on product and price information with rewards scaled by the number of shoppers using the information
JP3701148B2 (en) * 1999-07-28 2005-09-28 株式会社日立製作所 The method of delivery content
US6950801B2 (en) 1999-07-28 2005-09-27 Ppg Industries Ohio, Inc. Method and apparatus for coordinating services
US6662194B1 (en) * 1999-07-31 2003-12-09 Raymond Anthony Joao Apparatus and method for providing recruitment information
US6289340B1 (en) 1999-08-03 2001-09-11 Ixmatch, Inc. Consultant matching system and method for selecting candidates from a candidate pool by adjusting skill values
US20020124247A1 (en) * 1999-08-03 2002-09-05 Houghton William C. Polling interactive television viewers
US6446053B1 (en) 1999-08-06 2002-09-03 Michael Elliott Computer-implemented method and system for producing a proposal for a construction project
US7929978B2 (en) 1999-12-01 2011-04-19 Genesys Telecommunications Laboratories, Inc. Method and apparatus for providing enhanced communication capability for mobile devices on a virtual private network
EP2802189A3 (en) 1999-08-12 2015-03-18 Elad Barkan Add-on base station for cellular network expansion
US6505168B1 (en) * 1999-08-16 2003-01-07 First Usa Bank, Na System and method for gathering and standardizing customer purchase information for target marketing
US7945468B1 (en) 1999-08-20 2011-05-17 Frontline Technologies, Inc. Notification of employees via pass code accessed web pages
US6648649B2 (en) * 1999-08-23 2003-11-18 Agewell, P.C. Method and apparatus for analysis
US7069242B1 (en) * 1999-08-24 2006-06-27 Elance, Inc. Method and apparatus for an electronic marketplace for services having a collaborative workspace
US20010032170A1 (en) * 1999-08-24 2001-10-18 Sheth Beerud D. Method and system for an on-line private marketplace
WO2001016795A3 (en) * 1999-08-26 2002-07-18 Marcus Oliver Schaeffler Assignment method
US6453337B2 (en) * 1999-10-25 2002-09-17 Zaplet, Inc. Methods and systems to manage and track the states of electronic media
US6421724B1 (en) 1999-08-30 2002-07-16 Opinionlab, Inc. Web site response measurement tool
US7085820B1 (en) 1999-08-30 2006-08-01 Opinionlab, Inc. System and method for reporting to a website owner user reactions to particular web pages of a website
US8041805B2 (en) * 1999-08-30 2011-10-18 Opinionlab, Inc. System and method for reporting to a website owner user reactions to particular web pages of a website
US6691153B1 (en) 1999-08-30 2004-02-10 Zaplet, Inc. Method and system for process interaction among a group
US6785810B1 (en) 1999-08-31 2004-08-31 Espoc, Inc. System and method for providing secure transmission, search, and storage of data
US7729944B1 (en) * 1999-09-03 2010-06-01 Simplexity, Llc System and methods for buying and selling telecommunication services via a network
WO2001018713A1 (en) * 1999-09-07 2001-03-15 E-Steel Corpporation Electronic commodity exchange system having dynamic transaction filters
WO2001020518A1 (en) * 1999-09-13 2001-03-22 Sohel Taufique Knowledge database system and method
US7124111B1 (en) * 1999-09-14 2006-10-17 Jpmorgan Chase Bank, N.A. Service charge adjustment platform
US20080222041A1 (en) * 1999-09-15 2008-09-11 Ganesh Mani Methods and Systems for Electronic Agency in Performance of Services
US20020188537A1 (en) * 1999-09-16 2002-12-12 Leeds Peter A. Management systems and methods for maximizing return on assets
US20060116865A1 (en) 1999-09-17 2006-06-01 Www.Uniscape.Com E-services translation utilizing machine translation and translation memory
US6868394B1 (en) * 1999-09-21 2005-03-15 Daniel Mele Method and apparatus for simplified artist-buyer transactions
EP1222591A4 (en) * 1999-09-21 2005-11-16 Daniel Mele Method and apparatus for simplified artist-buyer transactions
WO2001022328A1 (en) * 1999-09-22 2001-03-29 Liquidsite, Inc. E-commerce systems and methods responsive to interactive product placements
JP3895892B2 (en) * 1999-09-22 2007-03-22 株式会社東芝 Multimedia information collection and management apparatus and a program storage medium storing
WO2001025990A9 (en) * 1999-10-01 2003-01-23 Stanford Global Link Corp Virtual marketing office using the world wide web
US20020010608A1 (en) * 1999-10-08 2002-01-24 Scott Faber System for provding services in real-time overthe internet
US7308422B1 (en) 1999-10-08 2007-12-11 Utbk, Inc. System for recording and distributing recorded information over the internet
US20080052353A1 (en) * 2000-03-09 2008-02-28 Utbk, Inc. System for Recording and Distributing Recorded Information over the Internet
US7251628B1 (en) * 1999-10-13 2007-07-31 International Business Machines Corporation Automated purchasing agent system and method
US7167855B1 (en) 1999-10-15 2007-01-23 Richard Koenig Internet-based matching service for expert consultants and customers with matching of qualifications and times of availability
WO2001029708A9 (en) * 1999-10-15 2002-08-01 Biosciences Corp Internet-based matching service for expert consultants and customers with matching of qualifications and times of availability
US7818212B1 (en) * 1999-10-22 2010-10-19 Ewinwin, Inc. Multiple criteria buying and selling model
US7328244B1 (en) 1999-11-03 2008-02-05 International Business Machines Corporation Electronic mail system
WO2001033477A3 (en) * 1999-11-04 2001-12-27 Chase Manhattan Bank Nat Ass System and method for automated financial project management
US7321864B1 (en) * 1999-11-04 2008-01-22 Jpmorgan Chase Bank, N.A. System and method for providing funding approval associated with a project based on a document collection
US6876991B1 (en) 1999-11-08 2005-04-05 Collaborative Decision Platforms, Llc. System, method and computer program product for a collaborative decision platform
US6556976B1 (en) 1999-11-10 2003-04-29 Gershman, Brickner And Bratton, Inc. Method and system for e-commerce and related data management, analysis and reporting
EP1240600A4 (en) * 1999-11-12 2003-05-21 Mindmatters Technologies Inc System for automating and managing an enterprise ip environment
US20010032244A1 (en) * 1999-11-15 2001-10-18 Neustel Michael S. Internet based help system
US6325631B1 (en) * 1999-11-17 2001-12-04 Kouba-O'reilly Consulting Group Remote certification of workers for multiple worksites
US6616453B2 (en) 1999-11-17 2003-09-09 Kouba-O'reilly Consulting Group Remote certification of workers for multiple worksites
US6505166B1 (en) * 1999-11-23 2003-01-07 Dimitri Stephanou System and method for providing expert referral over a network
US7596578B1 (en) 1999-11-23 2009-09-29 Expert Viewpoint, Llc Method and apparatus for operating and funding a question and answer interactive system
US6513013B1 (en) * 1999-11-23 2003-01-28 Dimitri Stephanou System and method for providing expert referral over a network with real time interaction with customers
US7472071B2 (en) * 1999-11-23 2008-12-30 Expertviewpoint Llc. Interactive system for managing questions and answers among users and experts
US6507821B1 (en) * 1999-11-23 2003-01-14 Dimitri Stephanou System and method for providing information technology IT expert referral over a network
US7418437B1 (en) 1999-11-23 2008-08-26 Expert Viewpoint Llc System and method for supporting multiple question and answer fora in different web sites
US8571975B1 (en) 1999-11-24 2013-10-29 Jpmorgan Chase Bank, N.A. System and method for sending money via E-mail over the internet
US6714944B1 (en) 1999-11-30 2004-03-30 Verivita Llc System and method for authenticating and registering personal background data
FR2802040A1 (en) * 1999-12-03 2001-06-08 Net Plaque Sa Communication system and supply or services and exchange of information over the Internet in a secure manner, for a user group or profession such as medicine where all members of the profession can be given a unique identifier
WO2001043008A1 (en) * 1999-12-09 2001-06-14 Settle Peverill O Iii Method and apparatus for facilitating the selection of legal and legal-related service providers
US6434549B1 (en) 1999-12-13 2002-08-13 Ultris, Inc. Network-based, human-mediated exchange of information
US20020005865A1 (en) * 1999-12-17 2002-01-17 Barbara Hayes-Roth System, method, and device for authoring content for interactive agents
JP2004538535A (en) * 1999-12-23 2004-12-24 インテリストラテジーズ,インク.Intellistrategies,Inc. Automatic generation of survey questions based on the analysis result of the answer to the previous survey questions
GB9930607D0 (en) * 1999-12-24 2000-02-16 Ncr Int Inc A network of information resources
US20010032189A1 (en) * 1999-12-27 2001-10-18 Powell Michael D. Method and apparatus for a cryptographically assisted commercial network system designed to facilitate idea submission, purchase and licensing and innovation transfer
US6709017B2 (en) * 1999-12-29 2004-03-23 Unilever Home & Personal Care Usa Division Of Conopco, Inc. Indicia for containers
US6965865B2 (en) 1999-12-30 2005-11-15 Bank One Delaware N.A. System and method for integrated customer management
WO2003009168A1 (en) * 2001-01-14 2003-01-30 Innovative Fleet Management Inc. Tool for analysis of item attributes
US20010025267A1 (en) * 2000-01-14 2001-09-27 Stephen Janiszewski System and method for facilitating bidding transactions and conducting project management utilizing software metric collection
CA2331429A1 (en) * 2000-01-18 2001-07-18 James Stein System and method for real-time updating service provider ratings
US20080071775A1 (en) * 2001-01-18 2008-03-20 Overture Services, Inc. System And Method For Ranking Items
US20010034631A1 (en) * 2000-01-21 2001-10-25 Kiselik Daniel R. Method and apparatus for the automatic selection of parties to an arrangement between a requestor and a satisfier of selected requirements
US7835957B1 (en) 2000-01-24 2010-11-16 Ariba, Inc. Method and system for correcting market failures with participant isolation in dutch style online auctions
US7792713B1 (en) 2000-01-24 2010-09-07 Ariba, Inc. Method and system for disguised price bidding in online auctions
US7979347B1 (en) * 2000-03-16 2011-07-12 Goldman Sachs & Co. Automated online sales risk management
WO2001055944A1 (en) * 2000-01-31 2001-08-02 Hellobrain.Com Empathic validation - a method for securing digital assets
US6704727B1 (en) * 2000-01-31 2004-03-09 Overture Services, Inc. Method and system for generating a set of search terms
US7240016B1 (en) 2000-02-01 2007-07-03 F. A. Richard & Associates Inc. Method and apparatus for improving the loss ratio on an insurance program book
EP1124195A3 (en) * 2000-02-09 2001-11-28 Hitachi, Ltd. Answer system for technical support, and technical support method
US20010027481A1 (en) * 2000-02-09 2001-10-04 Whyel Gabriel C. Method and system for appointment/reservation scheduling
WO2001060012A9 (en) * 2000-02-11 2003-02-20 Verimatrix Inc Web based human services conferencing network
US6775831B1 (en) 2000-02-11 2004-08-10 Overture Services, Inc. System and method for rapid completion of data processing tasks distributed on a network
US8626576B1 (en) 2000-02-11 2014-01-07 Apple Inc. System and method for marketing employing the distribution of a pay for performance database
US7136860B2 (en) 2000-02-14 2006-11-14 Overture Services, Inc. System and method to determine the validity of an interaction on a network
US6867789B1 (en) 2000-02-15 2005-03-15 Bank One, Delaware, National Association System and method for generating graphical user interfaces
US7401025B1 (en) * 2000-02-15 2008-07-15 Elliott Lokitz Accessible service provider clearinghouse
DE10007477A1 (en) * 2000-02-18 2001-09-06 U S U Softwarehaus Unternehmen Computer network system for experts database management in organization, sends queries stating problem repeatedly to group of receivers who recommend experts
US20020038277A1 (en) * 2000-02-22 2002-03-28 Yuan Frank S. Innovative financing method and system therefor
US6741705B1 (en) * 2000-02-23 2004-05-25 Cisco Technology, Inc. System and method for securing voice mail messages
JP2003524246A (en) * 2000-02-25 2003-08-12 ウン−チョン イ、 Straight transaction information automatically cross notification system and method
US8335994B2 (en) * 2000-02-25 2012-12-18 Salmon Alagnak Llc Method and apparatus for providing content to a computing device
US20010034694A1 (en) * 2000-02-25 2001-10-25 Elias Brian K. System for providing an online collectibles marketplace
US6851094B1 (en) * 2000-02-28 2005-02-01 Cadence Design Systems, Inc. Automated method and system for selecting and procuring electronic components used in circuit and chip designs
US6594799B1 (en) * 2000-02-28 2003-07-15 Cadence Design Systems, Inc. Method and system for facilitating electronic circuit and chip design using remotely located resources
WO2001067333A1 (en) * 2000-03-06 2001-09-13 Benderev Theodore V On-line survey method
US8799208B2 (en) * 2000-03-07 2014-08-05 E-Rewards, Inc. Method and system for evaluating, reporting, and improving on-line promotion effectiveness
US6907401B1 (en) * 2000-03-13 2005-06-14 Verizon Corporate Services Group Inc. Portal switch for electronic commerce
US20040260601A1 (en) * 2000-03-13 2004-12-23 Victor Brief System and method for internet based procurement of goods and services
JP2001256361A (en) * 2000-03-13 2001-09-21 Toshio Tsukishiro Device and method for information distribution
US7881962B2 (en) * 2000-03-14 2011-02-01 Verizon Business Global Llc Early-payment discount for E-billing system
US7216104B2 (en) * 2000-03-14 2007-05-08 Verizon Business Global Llc Disallow payment for E-billing system
US7099925B1 (en) * 2000-03-15 2006-08-29 Drugstore.Com Electronic commerce session management
US8645137B2 (en) 2000-03-16 2014-02-04 Apple Inc. Fast, language-independent method for user authentication by voice
US7599879B2 (en) * 2000-03-24 2009-10-06 Jpmorgan Chase Bank, National Association Syndication loan administration and processing system
US20060149669A1 (en) * 2000-03-24 2006-07-06 Kwan Khai H System, program and method for determining the compensatory value to avoid contract termination over computer network
KR20030017485A (en) * 2000-03-29 2003-03-03 리스쿠몬스타 가부시키가이샤 System for anonymity electronic commerce having crediting function and method
US7308434B2 (en) * 2000-03-30 2007-12-11 Verizon Business Global Llc Account management tool for e-billing system
US20020013760A1 (en) * 2000-03-31 2002-01-31 Arti Arora System and method for implementing electronic markets
WO2001075737A1 (en) * 2000-03-31 2001-10-11 Liquid Engines, Inc. Efficient interface for configuring an electronic market
US6920561B1 (en) 2000-03-31 2005-07-19 International Business Machines Corporation Method and system for enabling free seating using biometrics through a centralized authentication
WO2001075683A3 (en) * 2000-04-03 2004-02-26 Rufus Putnam Coes Iii Computerized system and method for soliciting, collecting and evaluating suggestions from structured and unstructured stimuli via a computer network
US6829734B1 (en) 2000-04-04 2004-12-07 International Business Machines Corporation Method for discovering problem resolutions in a free form computer helpdesk data set
WO2001077867A1 (en) * 2000-04-06 2001-10-18 Lin Lon Phon System and method of conducting open survey through a data communications network
US7177798B2 (en) * 2000-04-07 2007-02-13 Rensselaer Polytechnic Institute Natural language interface using constrained intermediate dictionary of results
US7007232B1 (en) * 2000-04-07 2006-02-28 Neoplasia Press, Inc. System and method for facilitating the pre-publication peer review process
US20020026403A1 (en) * 2000-04-10 2002-02-28 Roger Tambay Systems and methods for facilitating transactions in a commodity marketplace
US7277865B1 (en) 2000-04-17 2007-10-02 Accenture Llp Information portal in a contract manufacturing framework
US7353180B1 (en) * 2000-04-17 2008-04-01 Accenture Llp Supply chain/workflow services in a contract manufacturing framework
WO2001084443A1 (en) * 2000-05-03 2001-11-08 Harrison Shelton E Jr Electronic bond & guaranty process and business method
DE10021630C2 (en) * 2000-05-04 2002-09-26 Frank Ellner Method and apparatus for mechanical-thermal severing of different materials
US7318050B1 (en) * 2000-05-08 2008-01-08 Verizon Corporate Services Group Inc. Biometric certifying authorities
US6760722B1 (en) * 2000-05-16 2004-07-06 International Business Machines Corporation Computer implemented automated remote support
JP2001331677A (en) * 2000-05-18 2001-11-30 Koto Jimusho:Kk Person searching method using communication means and server (device) that can be applied to the same method
WO2001091351A3 (en) * 2000-05-22 2002-03-28 Michael J Gaughan Method for contacting customers and prospective customers
US7451094B2 (en) * 2000-05-22 2008-11-11 Royall & Company Method for electronically surveying prospective candidates for admission to educational institutions and encouraging interest in attending
US6876997B1 (en) 2000-05-22 2005-04-05 Overture Services, Inc. Method and apparatus for indentifying related searches in a database search system
JP2001344394A (en) * 2000-06-02 2001-12-14 Thk Co Ltd Method and system of open research and development
US6461162B1 (en) 2000-06-05 2002-10-08 Harold Reitman Method for creation of a center for athletic performance enhancement
US7305355B2 (en) * 2000-06-12 2007-12-04 American Express Travel Related Services Company, Inc. Universal shopping cart and order injection system
US7426530B1 (en) 2000-06-12 2008-09-16 Jpmorgan Chase Bank, N.A. System and method for providing customers with seamless entry to a remote server
US7526440B2 (en) * 2000-06-12 2009-04-28 Walker Digital, Llc Method, computer product, and apparatus for facilitating the provision of opinions to a shopper from a panel of peers
US6606581B1 (en) 2000-06-14 2003-08-12 Opinionlab, Inc. System and method for measuring and reporting user reactions to particular web pages of a website
US7412409B2 (en) * 2000-06-15 2008-08-12 American Express Travel Related Services Company, Inc. Online ordering medium and method
US7373314B2 (en) * 2000-06-15 2008-05-13 American Express Travel Related Services Company, Inc. Unified product purchasing method
US20080162298A1 (en) * 2000-06-15 2008-07-03 American Express Travel Related Services Company, Inc. Online ordering system and method
US7350139B1 (en) * 2000-06-16 2008-03-25 American Express Travel Related Services Company, Inc. System and method for utilizing a drag and drop technique to complete electronic forms
US20020016727A1 (en) * 2000-06-16 2002-02-07 Thoughtbank, Inc. Systems and methods for interactive innovation marketplace
US20020116227A1 (en) * 2000-06-19 2002-08-22 Dick Richard S. Method and apparatus for requesting, retrieving, and obtaining de-identified medical informatiion
WO2001098866A3 (en) * 2000-06-19 2002-03-07 Nex2 Llc Method and apparatus for requesting and retrieving medical information
US6850900B1 (en) * 2000-06-19 2005-02-01 Gary W. Hare Full service secure commercial electronic marketplace
US20010053986A1 (en) * 2000-06-19 2001-12-20 Dick Richard S. Method and apparatus for requesting, retrieving, and normalizing medical information
US20020023018A1 (en) * 2000-06-20 2002-02-21 Robert Kleinbaum Method and system for network-based community for sharing information services
US20020077978A1 (en) * 2000-06-22 2002-06-20 The Chase Manhattan Bank Method and system for processing internet payments
US7831508B1 (en) 2000-06-23 2010-11-09 Jpmorgan Chase Bank, N.A. System and method for implementing a consolidated application process
US7725526B1 (en) * 2000-06-23 2010-05-25 International Business Machines Corporation System and method for web based sharing of search engine queries
US20090083653A1 (en) * 2000-06-23 2009-03-26 Makoff Jeffrey T System for facilitating remote digital image manipulation services
US6901394B2 (en) 2000-06-30 2005-05-31 Askme Corporation Method and system for enhanced knowledge management
US6829585B1 (en) * 2000-07-06 2004-12-07 General Electric Company Web-based method and system for indicating expert availability
US20020007350A1 (en) * 2000-07-11 2002-01-17 Brian Yen System and method for on-demand data distribution in a P2P system
US20020046075A1 (en) * 2000-07-12 2002-04-18 Dipayan Gangopadhyay Certificate matching
WO2002007087A3 (en) * 2000-07-13 2003-03-27 Clicksoftware Technologies Ltd A method and system for sharing knowledge
US20020038293A1 (en) * 2000-07-14 2002-03-28 Seiden Henry A. Web-enabled method and system for managing remote dispute resolution
CA2418330A1 (en) * 2000-07-18 2002-01-24 Homework911.Com, Inc. Interactive online learning with student-to-tutor matching
US20020013716A1 (en) * 2000-07-19 2002-01-31 Dunham Michael H. Network based integrated system of care
EP1174806A1 (en) * 2000-07-21 2002-01-23 Investigacion, Informatica Y Communicationes, S.L. Professional teleconsulting method and system
KR100729779B1 (en) * 2000-07-26 2007-06-20 삼성전자주식회사 Method for analysing of an intellectual property information and system for performing the same
JP2002042005A (en) * 2000-07-31 2002-02-08 Fujitsu Ltd Delivery control method and device therefor, and delivery information service method
US7110967B1 (en) 2000-08-04 2006-09-19 Infopia, Inc. Method for refining an online marketplace selection for enhancing e-commerce
EP1325486A1 (en) * 2000-08-04 2003-07-09 Sylvan Learning Systems, Inc. Automated testing and electronic instructional delivery and student management system
US6865540B1 (en) 2000-08-09 2005-03-08 Ingenio, Inc. Method and apparatus for providing group calls via the internet
US7346541B1 (en) * 2000-08-14 2008-03-18 Law Enforcement Services, Inc. System, method and computer readable medium for acquiring and analyzing personal history information
US20040039677A1 (en) * 2000-08-18 2004-02-26 Commerce Games, Inc. Enhanced auction mechanism for online transactions
JP2004507820A (en) 2000-08-23 2004-03-11 コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィKoninklijke Philips Electronics N.V. How to improve the rendering of the content item, the client system and the server system
KR100371662B1 (en) * 2000-08-23 2003-03-28 김정욱 Method for real time survey on the internet
US7747866B1 (en) 2000-08-24 2010-06-29 Jpmorgan Chase Bank, N.A. System and method providing improved error detection related to transmission of data over a communication link
EP1184800A1 (en) 2000-09-04 2002-03-06 Michael A. Müller Brainstorming platform
WO2002021378A1 (en) * 2000-09-05 2002-03-14 Big Think Llc System and method for personalization implemented on multiple networks and multiple interfaces
US20020038286A1 (en) * 2000-09-05 2002-03-28 Lea Koren System and method for secure e-commerce
WO2002021413A3 (en) * 2000-09-05 2003-10-30 Zaplet Inc Methods and apparatus providing electronic messages that are linked and aggregated
US7395222B1 (en) * 2000-09-07 2008-07-01 Sotos John G Method and system for identifying expertise
US6704716B1 (en) 2000-09-08 2004-03-09 Mindepper, Llc Method and system for conducting an online transaction that allows the seller and bidder to negotiate
WO2002023796A1 (en) * 2000-09-11 2002-03-21 Sentrycom Ltd. A biometric-based system and method for enabling authentication of electronic messages sent over a network
US7383190B1 (en) * 2000-09-15 2008-06-03 American Express Travel Related Services Company, Inc. Systems, methods and computer program products for receiving and responding to customer requests for travel related information
US8335855B2 (en) * 2001-09-19 2012-12-18 Jpmorgan Chase Bank, N.A. System and method for portal infrastructure tracking
US7246263B2 (en) * 2000-09-20 2007-07-17 Jpmorgan Chase Bank System and method for portal infrastructure tracking
WO2002025554A1 (en) * 2000-09-21 2002-03-28 Iq Company Method and system for asynchronous online distributed problem solving including problems in education, business finance and technology
US6832218B1 (en) * 2000-09-22 2004-12-14 International Business Machines Corporation System and method for associating search results
CN1415101A (en) * 2000-09-28 2003-04-30 株式会社东芝 Information providing system, information providing method, information aquiring method and computer program product for providing information
JP2002109402A (en) * 2000-09-29 2002-04-12 Fujitsu Ltd Method and devices for setting up supporting fee
US8301535B1 (en) 2000-09-29 2012-10-30 Power Financial Group, Inc. System and method for analyzing and searching financial instrument data
US20020039408A1 (en) * 2000-10-03 2002-04-04 Securetell, Inc. Method and system for enabling workers to communicate anonymously with their employers
US7330834B1 (en) * 2000-10-05 2008-02-12 Novaplex Technologies, Inc. System and method for electronic trading of assets
US20020065695A1 (en) * 2000-10-10 2002-05-30 Francoeur Jacques R. Digital chain of trust method for electronic commerce
US20060129458A1 (en) * 2000-10-12 2006-06-15 Maggio Frank S Method and system for interacting with on-demand video content
US20030195807A1 (en) * 2000-10-12 2003-10-16 Frank S. Maggio Method and system for verifying exposure to message content via a printed response
US20050060232A1 (en) * 2000-10-12 2005-03-17 Maggio Frank S. Method and system for interacting with a writing
US20040103032A1 (en) * 2000-10-12 2004-05-27 Maggio Frank S. Remote control system and method for interacting with broadcast content
US20040015399A1 (en) * 2000-10-12 2004-01-22 Maggio Frank S. Method and system for verifying exposure to message content delivered via outdoor media or in a concentrated format
US7580890B2 (en) * 2000-10-12 2009-08-25 Jpmorgan Chase Bank, N.A. System and method for supervising account management operations
US20040107138A1 (en) * 2000-10-12 2004-06-03 Maggio Frank S. Method and system for verifying immersion in advertising content via an immersion enhancing content vignette
US20060282319A1 (en) * 2000-10-12 2006-12-14 Maggio Frank S Method and system for substituting media content
US20060253330A1 (en) * 2000-10-12 2006-11-09 Maggio Frank S Method and system for automatically substituting media content
US7831467B1 (en) * 2000-10-17 2010-11-09 Jpmorgan Chase Bank, N.A. Method and system for retaining customer loyalty
JP2002133157A (en) * 2000-10-18 2002-05-10 Obic Business Consultants Ltd System for mediating management support through internet
US6970847B1 (en) * 2000-10-24 2005-11-29 Canon Kabushiki Kaisha Business method for secure document folder distribution
JP2002132772A (en) * 2000-10-24 2002-05-10 Nec Corp Information providing system
US6999987B1 (en) * 2000-10-25 2006-02-14 America Online, Inc. Screening and survey selection system and method of operating the same
US9819561B2 (en) 2000-10-26 2017-11-14 Liveperson, Inc. System and methods for facilitating object assignments
US20060015390A1 (en) * 2000-10-26 2006-01-19 Vikas Rijsinghani System and method for identifying and approaching browsers most likely to transact business based upon real-time data mining
US8868448B2 (en) * 2000-10-26 2014-10-21 Liveperson, Inc. Systems and methods to facilitate selling of products and services
US6636590B1 (en) 2000-10-30 2003-10-21 Ingenio, Inc. Apparatus and method for specifying and obtaining services through voice commands
US6766319B1 (en) * 2000-10-31 2004-07-20 Robert J. Might Method and apparatus for gathering and evaluating information
US6910045B2 (en) * 2000-11-01 2005-06-21 Collegenet, Inc. Automatic data transmission in response to content of electronic forms satisfying criteria
US7542936B1 (en) * 2000-11-02 2009-06-02 Utbk, Inc. Method, apparatus and system for marketing, delivering, and collecting payment for information
US7870054B2 (en) * 2000-11-10 2011-01-11 Ariba, Inc. Method, apparatus and system for advancing a bidder to a selected rank
EP1334458A2 (en) 2000-11-10 2003-08-13 Affinnova, Inc. Method and apparatus for dynamic, real-time market segmentation
US7228287B1 (en) * 2000-11-13 2007-06-05 Ben Simon Samson Method of providing online incentives
US7634439B1 (en) 2000-11-14 2009-12-15 Ariba, Inc. Method and apparatus to perform buy versus leasing transformational bidding
US20020083024A1 (en) * 2000-11-17 2002-06-27 Myers Bradley A. Case management system and method
JP2002222275A (en) * 2000-11-24 2002-08-09 Canon Inc Server having function for supporting user, control method for server and system having server, program for executing them, and program for the same
US7299206B2 (en) 2000-11-30 2007-11-20 Ebay Inc. Method and system to implement seller authorized buying privileges within a network-based shopping facility
US20050010604A1 (en) * 2001-12-05 2005-01-13 Digital Networks North America, Inc. Automatic identification of DVD title using internet technologies and fuzzy matching techniques
US7353228B2 (en) * 2000-12-07 2008-04-01 General Electric Capital Corporation Method and product for calculating a net operating income audit and for enabling substantially identical audit practices among a plurality of audit firms
US7069093B2 (en) * 2000-12-07 2006-06-27 Thackston James D System and process for facilitating efficient communication of specifications for parts and assemblies with a mechanism for assigning responsibility selection
US7328186B2 (en) * 2000-12-12 2008-02-05 International Business Machines Corporation Client account and information management system and method
US7295999B1 (en) 2000-12-20 2007-11-13 Jpmorgan Chase Bank, N.A. System and method for determining eligibility and enrolling members in various programs
JPWO2002050733A1 (en) * 2000-12-21 2004-04-22 山本 弘人 Shigyo experts introduction and appointment system
US20020087456A1 (en) * 2000-12-29 2002-07-04 Daniel Abeshouse Method, apparatus, and system for synchronizing timing of an auction throug a computer network
WO2002054652A3 (en) * 2001-01-05 2002-09-12 Yozons Inc System and method for processing digital documents utilizing secure communications over a network
US20020091557A1 (en) * 2001-01-08 2002-07-11 Srinivas Akkaraju Method for facilitating transactions of life sciences opportunities
CA2434251A1 (en) 2001-01-09 2002-07-18 Topcoder, Inc. Systems and methods for coding competitions
US7219066B2 (en) 2001-01-12 2007-05-15 International Business Machines Corporation Skills matching application
US20040199433A1 (en) * 2001-07-18 2004-10-07 Marzan Richard A System and method for capturing conditions of items
US7289623B2 (en) 2001-01-16 2007-10-30 Utbk, Inc. System and method for an online speaker patch-through
US7472088B2 (en) * 2001-01-19 2008-12-30 Jpmorgan Chase Bank N.A. System and method for offering a financial product
US20040148232A1 (en) * 2001-01-22 2004-07-29 Osamu Fushimi Electronic catalog aggregation apparatus for realizing fast and efficient electronic catalog system
US6895405B1 (en) * 2001-01-31 2005-05-17 Rosetta Marketing Strategies Group Computer-assisted systems and methods for determining effectiveness of survey question
US7398270B1 (en) * 2001-01-31 2008-07-08 Choi Lawrence J Method and system for clustering optimization and applications
US20020103672A1 (en) * 2001-01-31 2002-08-01 Torres Joseph L. Pre-paid health care system and methods of providing same
JP2002230341A (en) * 2001-02-06 2002-08-16 Ntt Docomo Inc Device and method for intermediation
DE60228202D1 (en) 2001-02-12 2008-09-25 Gracenote Inc A method for generating an identification hash of the contents of a multimedia file
US7084998B2 (en) * 2001-02-13 2006-08-01 Ariba, Inc. Method and system for processing files using a printer driver
US7072061B2 (en) * 2001-02-13 2006-07-04 Ariba, Inc. Method and system for extracting information from RFQ documents and compressing RFQ files into a common RFQ file type
US7277878B2 (en) 2001-02-13 2007-10-02 Ariba, Inc. Variable length file header apparatus and system
US7464045B2 (en) * 2001-02-14 2008-12-09 The Workplace Helpline, Llc Method and apparatus for managing workplace services and products
US7412396B1 (en) 2001-02-15 2008-08-12 Haq Mohamed M Virtual clinic for medical practice
US8380608B2 (en) * 2001-02-15 2013-02-19 Ariba, Inc. System and method for creating a spot market
US20020111895A1 (en) * 2001-02-15 2002-08-15 Blair William R. System and method for creating catalog neutral products
US20020116292A1 (en) * 2001-02-20 2002-08-22 Flip Ltd Competitive on-line merchandising system
US20020120487A1 (en) * 2001-02-23 2002-08-29 Fridrich Donald J. Referral systems for providing customers with information
US8310943B2 (en) * 2002-02-26 2012-11-13 Motorola Mobility Llc Method and system for transmission-based billing applications
US20020120485A1 (en) * 2001-02-28 2002-08-29 Nancy Kirkconnell-Ewing System and method for aiding customers in defining problems and finding solutions
JP2002259658A (en) * 2001-03-02 2002-09-13 Fujitsu Ltd Method and program for distributing profit
US20020133402A1 (en) 2001-03-13 2002-09-19 Scott Faber Apparatus and method for recruiting, communicating with, and paying participants of interactive advertising
US6938001B2 (en) * 2001-03-14 2005-08-30 James P. Kimmel, Jr. Electronic legal research ordering and pricing method of defining and valuing electronic legal research instructions and electronically ordering and pricing legal research
US7197459B1 (en) * 2001-03-19 2007-03-27 Amazon Technologies, Inc. Hybrid machine/human computing arrangement
US7181017B1 (en) 2001-03-23 2007-02-20 David Felsher System and method for secure three-party communications
US7085811B2 (en) * 2001-03-27 2006-08-01 Pitney Bowes Inc. Sender elected messaging services
US7346591B2 (en) * 2001-03-27 2008-03-18 Pitney Bowes Inc. Messaging services for uniquely identified mail
US20040094615A1 (en) * 2001-03-27 2004-05-20 Pitney Bowes Incorporated Recipient elected messaging services enabled by processing codes printed on mail
US7389238B2 (en) * 2001-03-27 2008-06-17 Pitney Bowes Inc. Recipient elected messaging services
US7386457B2 (en) * 2001-03-27 2008-06-10 Pitney Bowes Inc. Messaging services for the visually impaired
US7155510B1 (en) 2001-03-28 2006-12-26 Predictwallstreet, Inc. System and method for forecasting information using collective intelligence from diverse sources
US20040153360A1 (en) * 2002-03-28 2004-08-05 Schumann Douglas F. System and method of message selection and target audience optimization
JP4616494B2 (en) * 2001-03-29 2011-01-19 富士通株式会社 Consultation assistance method and apparatus
EP1388083A4 (en) * 2001-04-10 2006-11-22 Lions Eye Inst Ltd Virtual service system for client and service provider users and method therefor
US20020161645A1 (en) * 2001-04-10 2002-10-31 Walker Jay S. Method and apparatus for offering forward commitment agreements
US20020152110A1 (en) * 2001-04-16 2002-10-17 Stewart Betsy J. Method and system for collecting market research data
US20030094489A1 (en) * 2001-04-16 2003-05-22 Stephanie Wald Voting system and method
US8849716B1 (en) 2001-04-20 2014-09-30 Jpmorgan Chase Bank, N.A. System and method for preventing identity theft or misuse by restricting access
US7272857B1 (en) 2001-04-20 2007-09-18 Jpmorgan Chase Bank, N.A. Method/system for preventing identity theft or misuse by restricting access
US20020165815A1 (en) * 2001-05-07 2002-11-07 International Business Machines Corporation Online marketplace with anonymous communication
US7244853B2 (en) * 2001-05-09 2007-07-17 President And Fellows Of Harvard College Dioxanes and uses thereof
US20020184090A1 (en) * 2001-05-30 2002-12-05 Thefence.Com, Inc. Paidpostage computerized method and system
US20030050851A1 (en) * 2001-05-31 2003-03-13 Vaccaro Lee P. Hybrid business model having infinitely variable business support services
WO2002099598A3 (en) 2001-06-07 2004-03-25 First Usa Bank Na System and method for rapid updating of credit information
US20030028498A1 (en) * 2001-06-07 2003-02-06 Barbara Hayes-Roth Customizable expert agent
US6578174B2 (en) 2001-06-08 2003-06-10 Cadence Design Systems, Inc. Method and system for chip design using remotely located resources
US6912521B2 (en) * 2001-06-11 2005-06-28 International Business Machines Corporation System and method for automatically conducting and managing surveys based on real-time information analysis
WO2002103565A1 (en) * 2001-06-14 2002-12-27 Firstdoor.Com, Inc. Method and apparatus for providing user- specific response
JP2004536504A (en) 2001-06-25 2004-12-02 ジェイピー・モーガン・チェイス・バンク System and method for issuing electronic vouchers and electronic vouchers
US20030009570A1 (en) * 2001-07-03 2003-01-09 International Business Machines Corporation Method and apparatus for segmented peer-to-peer computing
US20030009367A1 (en) * 2001-07-06 2003-01-09 Royce Morrison Process for consumer-directed prescription influence and health care product marketing
US7266839B2 (en) * 2001-07-12 2007-09-04 J P Morgan Chase Bank System and method for providing discriminated content to network users
JP2003029615A (en) * 2001-07-13 2003-01-31 Nova:Kk Ranking system and ranking method
WO2003010623A3 (en) * 2001-07-24 2003-11-27 Alia Llc Remote online consulting system
US20030028525A1 (en) * 2001-08-01 2003-02-06 Santos Richard A. System for and method of determining and using subject matter experts in a forum environment
US7043471B2 (en) * 2001-08-03 2006-05-09 Overture Services, Inc. Search engine account monitoring
US7076479B1 (en) 2001-08-03 2006-07-11 Overture Services, Inc. Search engine account monitoring
US20030031996A1 (en) * 2001-08-08 2003-02-13 Adam Robinson Method and system for evaluating documents
JP2003058626A (en) * 2001-08-15 2003-02-28 Fuji Photo Film Co Ltd Consultant server and consultant method
US6879979B2 (en) * 2001-08-24 2005-04-12 Bigfix, Inc. Method to remotely query, safely measure, and securely communicate configuration information of a networked computational device
US7922494B2 (en) * 2001-08-28 2011-04-12 International Business Machines Corporation Method for improved administering of tests using customized user alerts
US7330823B1 (en) * 2001-08-31 2008-02-12 Derosier Melissa E System and method for performing sociometric data collection and analysis for the sociometric classification of schoolchildren
US6704403B2 (en) * 2001-09-05 2004-03-09 Ingenio, Inc. Apparatus and method for ensuring a real-time connection between users and selected service provider using voice mail
US20030055728A1 (en) * 2001-09-18 2003-03-20 Bo-In Lin Distributed open customer relationship management and care (CRMC) programs implemented with on line vouchers
US7103576B2 (en) * 2001-09-21 2006-09-05 First Usa Bank, Na System for providing cardless payment
FR2830105B1 (en) * 2001-09-24 2004-03-26 Neoptec Tech Method for anonymation documents, control, reading, processing information and desanonymation by reading scanner
US20030078927A1 (en) * 2001-10-18 2003-04-24 Hammond Christopher Reynolds System and method for using web based wizards and tools
DE60205649D1 (en) 2001-10-22 2005-09-22 Riccardo Vieri System to convert text messages into voice messages and send them over an Internet connection to a telephone and procedures for the operation of this system
US7593861B2 (en) * 2001-10-24 2009-09-22 Employee Motivation & Performance Assessment, Inc. Employee assessment tool
JP2003132178A (en) * 2001-10-25 2003-05-09 Ntt Docomo Inc Information acquisition system and method
US20030083891A1 (en) * 2001-10-25 2003-05-01 Lang Kenny W. Project Management tool
US7120647B2 (en) * 2001-10-30 2006-10-10 General Electric Company Web-based method and system for providing expert information on selected matters
CA2919269A1 (en) * 2001-11-01 2003-05-08 Jpmorgan Chase Bank, N.A. System and method for establishing or modifying an account with user selectable terms
US8250025B2 (en) * 2001-11-06 2012-08-21 Business Controls, Inc. Anonymous reporting system
US7536362B2 (en) * 2001-11-07 2009-05-19 Ariba, Inc. Method for selecting an optimal balance between direct cost and a number of suppliers
US6826572B2 (en) 2001-11-13 2004-11-30 Overture Services, Inc. System and method allowing advertisers to manage search listings in a pay for placement search system using grouping
US20030101126A1 (en) * 2001-11-13 2003-05-29 Cheung Dominic Dough-Ming Position bidding in a pay for placement database search system
US7647240B2 (en) * 2001-11-20 2010-01-12 Pharma Emarket Llc Computer-implemented system and method for matching clinical research monitors with clinical trial sponsors
US7127440B2 (en) * 2001-11-29 2006-10-24 Caterpillar Inc. Knowledge management system and method
US20060112052A1 (en) * 2001-11-29 2006-05-25 Jeanblanc Anne H Methods and systems for managing knowledge documents
US7340442B2 (en) 2001-11-29 2008-03-04 Caterpillar Inc. Methods and systems for collaborating communities of practice
US20060112053A1 (en) * 2001-11-29 2006-05-25 Jeanblanc Anne H Methods and systems for providing knowledge documents
US20060112051A1 (en) * 2001-11-29 2006-05-25 Jeanblanc Anne H Methods and systems for delivering community knowledge
US7987501B2 (en) 2001-12-04 2011-07-26 Jpmorgan Chase Bank, N.A. System and method for single session sign-on
US7580850B2 (en) * 2001-12-14 2009-08-25 Utbk, Inc. Apparatus and method for online advice customer relationship management
US20030115127A1 (en) * 2001-12-18 2003-06-19 Freemarkets, Inc. Method of market basket bidding for surplus merchandise
US20060074708A1 (en) * 2001-12-20 2006-04-06 Woods Michael S Methods for grouping and maintaining low liability risk professionals
US7929951B2 (en) * 2001-12-20 2011-04-19 Stevens Lawrence A Systems and methods for storage of user information and for verifying user identity
US20030120582A1 (en) * 2001-12-21 2003-06-26 Oncall Solutions, Inc. Call schedule auctioning method and apparatus
US7937439B2 (en) 2001-12-27 2011-05-03 Utbk, Inc. Apparatus and method for scheduling live advice communication with a selected service provider
JP2005514708A (en) * 2001-12-28 2005-05-19 ファインドワット.コム A system and method for a pay-for-performance advertising by the general media
EP1466435A4 (en) * 2002-01-08 2011-05-18 Seven Networks Inc Secure transport for mobile communication network
US8126799B2 (en) * 2002-01-09 2012-02-28 Ariba, Inc. Method of bidding to drive competition in an auction
US20030135444A1 (en) * 2002-01-15 2003-07-17 Nachiappan Annamalai Multiple award optimization
US7146331B1 (en) 2002-01-17 2006-12-05 Ariba, Inc. Method and system for supplier prioritization
US20030139965A1 (en) * 2002-01-22 2003-07-24 Latin Commodities S.A. Method for evaluating corporate network users knowledge level through an on-line query system
US20030140037A1 (en) * 2002-01-23 2003-07-24 Kenneth Deh-Lee Dynamic knowledge expert retrieval system
US20030182161A1 (en) * 2002-01-29 2003-09-25 Vanderlei Amauri Hernandes Interactive system for providing information and optimizing the attendance in the areas of health and related ones
US20030144895A1 (en) * 2002-01-30 2003-07-31 Comverse, Inc. Prepaid personal advisory service for cellular networks
US7428531B2 (en) 2002-02-06 2008-09-23 Jpmorgan Chase Bank, N.A. Customer information management system and method
US7941533B2 (en) * 2002-02-19 2011-05-10 Jpmorgan Chase Bank, N.A. System and method for single sign-on session management without central server
US7865715B2 (en) * 2002-02-28 2011-01-04 Hewlett-Packard Development Company, L.P. Increasing peer privacy
US7398388B2 (en) * 2002-02-28 2008-07-08 Hewlett-Packard Development Company, L.P. Increasing peer privacy
US20030172004A1 (en) * 2002-03-07 2003-09-11 Gateway, Inc. Sales voting and shopping by recipient attributes
US7103835B1 (en) 2002-03-12 2006-09-05 Movaris, Inc. Process builder for a routable electronic document system and method for using the same
US20030174838A1 (en) * 2002-03-14 2003-09-18 Nokia Corporation Method and apparatus for user-friendly peer-to-peer distribution of digital rights management protected content and mechanism for detecting illegal content distributors
US20030177277A1 (en) * 2002-03-15 2003-09-18 Ziv Dascalu System and method for personal referrals
US7418421B2 (en) * 2002-03-28 2008-08-26 International Business Machines Corporation Method, system, and apparatus for dynamically creating electronic contracts
EP1497756A4 (en) * 2002-04-01 2006-07-12 Overture Services Inc Displaying paid search listings in proportion to advertiser spending
US7203909B1 (en) * 2002-04-04 2007-04-10 Microsoft Corporation System and methods for constructing personalized context-sensitive portal pages or views by analyzing patterns of users' information access activities
US20030191656A1 (en) * 2002-04-06 2003-10-09 Staples Peter Ethan Management of collaborative design process
US7778866B2 (en) * 2002-04-08 2010-08-17 Topcoder, Inc. Systems and methods for software development
US8776042B2 (en) * 2002-04-08 2014-07-08 Topcoder, Inc. Systems and methods for software support
US7292990B2 (en) * 2002-04-08 2007-11-06 Topcoder, Inc. System and method for software development
US20070220479A1 (en) * 2006-03-14 2007-09-20 Hughes John M Systems and methods for software development
US20040236714A1 (en) * 2002-04-09 2004-11-25 Peter Eisenberger Task driven taxonomy and applications delivery platform
US20030220812A1 (en) * 2002-04-09 2003-11-27 Jones Michael B. Method of coordinating business transactions between repair service participants
US8620677B2 (en) 2002-04-09 2013-12-31 Pcrs, Inc. Online, interactive evaluation of research performance
US7925568B2 (en) * 2002-04-10 2011-04-12 Volt Information Sciences, Inc. Computer system and method for producing analytical data related to the project bid and requisition process
US20030200168A1 (en) * 2002-04-10 2003-10-23 Cullen Andrew A. Computer system and method for facilitating and managing the project bid and requisition process
US9020884B2 (en) * 2002-04-10 2015-04-28 Iqnavigator, Inc. Method of and system for consultant re-seller business information transfer
US7558745B2 (en) 2002-09-30 2009-07-07 Volt Information Sciences, Inc. Method of and system for enabling and managing sub-contracting entities
US20030195787A1 (en) * 2002-04-11 2003-10-16 Brunk April Marie Method of providing expert advice over a communications network
US20060200356A1 (en) * 2002-04-11 2006-09-07 Dadong Wan On demand real-time knowledge-based connectivity
US20030196206A1 (en) 2002-04-15 2003-10-16 Shusman Chad W. Method and apparatus for internet-based interactive programming
US7698146B2 (en) * 2002-04-24 2010-04-13 Volt Information Sciences Inc. System and method for collecting and providing resource rate information using resource profiling
US7483852B2 (en) * 2002-04-24 2009-01-27 Ariba, Inc. Total value bidding
US20030204435A1 (en) * 2002-04-30 2003-10-30 Sbc Technology Resources, Inc. Direct collection of customer intentions for designing customer service center interface
US20030204436A1 (en) * 2002-04-30 2003-10-30 Joerg Flender Survey data gathering
US7054857B2 (en) * 2002-05-08 2006-05-30 Overture Services, Inc. Use of extensible markup language in a system and method for influencing a position on a search result list generated by a computer network search engine
US20030212604A1 (en) * 2002-05-09 2003-11-13 Cullen Andrew A. System and method for enabling and maintaining vendor qualification
US20030220919A1 (en) * 2002-05-17 2003-11-27 Steven Tsitas Intranet and internet search facility
US7246324B2 (en) * 2002-05-23 2007-07-17 Jpmorgan Chase Bank Method and system for data capture with hidden applets
US7231395B2 (en) * 2002-05-24 2007-06-12 Overture Services, Inc. Method and apparatus for categorizing and presenting documents of a distributed database
US8260786B2 (en) * 2002-05-24 2012-09-04 Yahoo! Inc. Method and apparatus for categorizing and presenting documents of a distributed database
US20040054649A1 (en) * 2002-05-24 2004-03-18 Mehran Mehregany Apparatus and method for information sharing across organizations
US20030225652A1 (en) * 2002-05-29 2003-12-04 Nell Minow Method and computer program product for analyzing and projecting the future investment value of a business organization
US20030229533A1 (en) * 2002-06-06 2003-12-11 Mack Mary E. System and method for creating compiled marketing research data over a computer network
US7143174B2 (en) * 2002-06-12 2006-11-28 The Jpmorgan Chase Bank, N.A. Method and system for delayed cookie transmission in a client-server architecture
US7356516B2 (en) 2002-06-13 2008-04-08 Visa U.S.A. Inc. Method and system for facilitating electronic dispute resolution
US7899707B1 (en) * 2002-06-18 2011-03-01 Ewinwin, Inc. DAS predictive modeling and reporting function
US20040039735A1 (en) * 2002-06-19 2004-02-26 Ross Maria A. Computer-implemented method and system for performing searching for products and services
US7216119B1 (en) 2002-06-20 2007-05-08 Raytheon Company Method and apparatus for intelligent information retrieval
US7472171B2 (en) * 2002-06-21 2008-12-30 Jpmorgan Chase Bank, National Association Method and system for determining receipt of a delayed cookie in a client-server architecture
US7797215B1 (en) 2002-06-26 2010-09-14 Power Financial Group, Inc. System and method for analyzing and searching financial instrument data
US20040158513A1 (en) * 2002-06-28 2004-08-12 Joseph Musacchio Employment salary information system and method
US20040006530A1 (en) * 2002-07-03 2004-01-08 Freemarkets, Inc. Automated lotting
WO2004008284A3 (en) * 2002-07-12 2004-04-15 Checkspert Inc System and method for remote supervision and authentication of user activities at communication network workstations
CA2393902A1 (en) * 2002-07-16 2004-01-16 Cognos Incorporated Automated usability testing system and method
US20040203646A1 (en) * 2002-07-18 2004-10-14 Rudd Michael L. System and method for a mobile expert device
US20040210472A1 (en) * 2002-07-25 2004-10-21 Lew Ark L. System and method for conducting a real-time survey
WO2004012126A3 (en) * 2002-07-29 2004-03-18 Opinionlab Inc System and method for providing substantially real-time access to collected information concerning user interaction with a web page of a website
US7974908B1 (en) 2002-07-29 2011-07-05 Ariba, Inc. System and method for promoting competition in an auction
US8554650B1 (en) 2002-07-31 2013-10-08 Ariba, Inc. Importable template
US7392255B1 (en) 2002-07-31 2008-06-24 Cadence Design Systems, Inc. Federated system and methods and mechanisms of implementing and using such a system
US7370285B1 (en) 2002-07-31 2008-05-06 Opinionlab, Inc. Receiving and reporting page-specific user feedback concerning one or more particular web pages of a website
US7702636B1 (en) 2002-07-31 2010-04-20 Cadence Design Systems, Inc. Federated system and methods and mechanisms of implementing and using such a system
US7478121B1 (en) * 2002-07-31 2009-01-13 Opinionlab, Inc. Receiving and reporting page-specific user feedback concerning one or more particular web pages of a website
US20040032486A1 (en) 2002-08-16 2004-02-19 Shusman Chad W. Method and apparatus for interactive programming using captioning
US20040059624A1 (en) * 2002-08-27 2004-03-25 John Wantulok Systems and methods for analyzing customer surveys
US7689463B1 (en) 2002-08-28 2010-03-30 Ewinwin, Inc. Multiple supplier system and method for transacting business
US7877607B2 (en) * 2002-08-30 2011-01-25 Hewlett-Packard Development Company, L.P. Tamper-evident data management
JP3854210B2 (en) * 2002-09-11 2006-12-06 富士通株式会社 Survey methods, the questionnaire device, the questionnaire program, a computer readable recording the survey programmable recording medium and respondent terminal
US20040053203A1 (en) * 2002-09-16 2004-03-18 Alyssa Walters System and method for evaluating applicants
US7234065B2 (en) * 2002-09-17 2007-06-19 Jpmorgan Chase Bank System and method for managing data privacy
DE10245169A1 (en) * 2002-09-26 2004-04-01 Claas Selbstfahrende Erntemaschinen Gmbh Electronic data exchange system
US7058660B2 (en) 2002-10-02 2006-06-06 Bank One Corporation System and method for network-based project management
US20040186738A1 (en) * 2002-10-24 2004-09-23 Richard Reisman Method and apparatus for an idea adoption marketplace
US7693747B2 (en) * 2002-10-31 2010-04-06 Ariba, Inc. Methods, system, and medium for initiating an online auction utilizing a line item detail report
US8301493B2 (en) * 2002-11-05 2012-10-30 Jpmorgan Chase Bank, N.A. System and method for providing incentives to consumers to share information
US9805373B1 (en) 2002-11-19 2017-10-31 Oracle International Corporation Expertise services platform
US7769650B2 (en) 2002-12-03 2010-08-03 Jp Morgan Chase Bank Network-based sub-allocation systems and methods for swaps
US7346587B2 (en) * 2002-12-06 2008-03-18 Aol Llc Intelligent method of order completion in an e-commerce environment based on availability of stored billing information
US20040148178A1 (en) * 2003-01-24 2004-07-29 Brain Marshall D. Service management system
US8126701B2 (en) * 2003-01-31 2012-02-28 Ariba, Inc. Translation technology in electronic sourcing
US20040225618A1 (en) * 2003-02-04 2004-11-11 Thackston James D. Process and system for executing and agreement between a consumer and a provider of services using digital signatures
US9818136B1 (en) 2003-02-05 2017-11-14 Steven M. Hoffberg System and method for determining contingent relevance
US20040153418A1 (en) * 2003-02-05 2004-08-05 Hanweck Gerald Alfred System and method for providing access to data from proprietary tools
DE10305771A1 (en) * 2003-02-11 2004-08-19 Hubertus Von Savigny Improved access to lines in a communication network uses service computers connected to a central computer
WO2004075528A3 (en) * 2003-02-13 2005-07-28 Lawrence W Heiser Method of providing evaluation or similar service
US7292723B2 (en) * 2003-02-26 2007-11-06 Walker Digital, Llc System for image analysis in a network that is structured with multiple layers and differentially weighted neurons
US20040186813A1 (en) * 2003-02-26 2004-09-23 Tedesco Daniel E. Image analysis method and apparatus in a network that is structured with multiple layers and differentially weighted neurons
US8386301B2 (en) * 2003-03-03 2013-02-26 Arjuna Indraeswaran Rajasingham Professional collaboration networks
US8041579B2 (en) * 2003-03-10 2011-10-18 Intuit Inc. Method, system and article of manufacture, such as a card, to provide user selectable medical information and information to obtain eligibility of healthcare payments
US20040181428A1 (en) * 2003-03-10 2004-09-16 Medem, Inc. Healthcare provider-patient online consultation system
US20040181430A1 (en) * 2003-03-10 2004-09-16 Edward Fotsch Healthcare provider-patient online consultation and compliance program
US8090590B2 (en) * 2003-03-10 2012-01-03 Intuit Inc. Electronic personal health record system
US20050165627A1 (en) * 2003-03-10 2005-07-28 Medem, Inc. Electronic personal health record system
EP1457889A1 (en) * 2003-03-13 2004-09-15 Philips Electronics N.V. Improved fingerprint matching method and system
US7493105B2 (en) 2003-03-18 2009-02-17 Simplexity, Llc Certification and activation of used phones on a wireless carrier network
US20040191743A1 (en) * 2003-03-26 2004-09-30 International Business Machines Corporation System and method for software development self-assessment
US20040220858A1 (en) * 2003-05-02 2004-11-04 Maggio Frank S. Method and system for verifying exposure to message content delivered via subscription networks
US20040236704A1 (en) * 2003-05-22 2004-11-25 Gotfried Bradley L. Method and system for providing a compensation opportunity to a task candidate
US20040236647A1 (en) * 2003-05-23 2004-11-25 Ravi Acharya Electronic checkbook register
US8306907B2 (en) 2003-05-30 2012-11-06 Jpmorgan Chase Bank N.A. System and method for offering risk-based interest rates in a credit instrument
JP2005004342A (en) * 2003-06-10 2005-01-06 Nec Corp Communication system, server device, profile disclosure method and program
US7359498B2 (en) * 2003-06-12 2008-04-15 Utbk, Inc. Systems and methods for arranging a call
US8590785B1 (en) 2004-06-15 2013-11-26 Ewinwin, Inc. Discounts in a mobile device
US7364086B2 (en) 2003-06-16 2008-04-29 Ewinwin, Inc. Dynamic discount card tied to price curves and group discounts
US7827487B1 (en) 2003-06-16 2010-11-02 Opinionlab, Inc. Soliciting user feedback regarding one or more web pages of a website without obscuring visual content
US7698183B2 (en) 2003-06-18 2010-04-13 Utbk, Inc. Method and apparatus for prioritizing a listing of information providers
DE10328383A1 (en) * 2003-06-24 2005-01-20 Siemens Ag A method for authorization of an information provider to a method of providing information and communication of information and switch
US20050010484A1 (en) * 2003-07-11 2005-01-13 Scott Bohannon Apparatus for and method of facilitating fulfillment of buyer's/seller's desire
US20050021385A1 (en) * 2003-07-22 2005-01-27 Shu-Fen Lin Consulting service system for internet
WO2005013057A3 (en) * 2003-07-25 2007-08-02 Jp Morgan Chase Bank Financial network-based payment card
US7613656B2 (en) * 2003-08-11 2009-11-03 Jp Morgan Chase Bank Coupon payment system
JP4339648B2 (en) * 2003-08-13 2009-10-07 富士通フロンテック株式会社 Electronic payment systems, electronic payment program and the electronic payment system,
US20110076663A1 (en) * 2003-08-18 2011-03-31 Retail Optimization International Systems and methods for selecting survey questions and available responses
US7886009B2 (en) 2003-08-22 2011-02-08 Utbk, Inc. Gate keeper
CA2537275A1 (en) * 2003-09-01 2005-03-10 Soulmades Pty Ltd An improved method of matching people
US7890585B2 (en) * 2003-09-03 2011-02-15 Lowe John C Second person review of email
US8175908B1 (en) 2003-09-04 2012-05-08 Jpmorgan Chase Bank, N.A. Systems and methods for constructing and utilizing a merchant database derived from customer purchase transactions data
US7953663B1 (en) 2003-09-04 2011-05-31 Jpmorgan Chase Bank, N.A. System and method for financial instrument pre-qualification and offering
US20050055555A1 (en) * 2003-09-05 2005-03-10 Rao Srinivasan N. Single sign-on authentication system
WO2005036382A1 (en) * 2003-09-17 2005-04-21 Lend Lease Corporation Limited Knowledge management system and method
US7191144B2 (en) * 2003-09-17 2007-03-13 Mentor Marketing, Llc Method for estimating respondent rank order of a set stimuli
US20050182713A1 (en) * 2003-10-01 2005-08-18 Giancarlo Marchesi Methods and systems for the auto reconsideration of credit card applications
US8027878B2 (en) 2003-10-06 2011-09-27 Utbk, Inc. Method and apparatus to compensate demand partners in a pay-per-call performance based advertising system
US7366683B2 (en) * 2003-10-06 2008-04-29 Utbk, Inc. Methods and apparatuses for offline selection of pay-per-call advertisers
US8121898B2 (en) 2003-10-06 2012-02-21 Utbk, Inc. Methods and apparatuses for geographic area selections in pay-per-call advertisement
US9202220B2 (en) * 2003-10-06 2015-12-01 Yellowpages.Com Llc Methods and apparatuses to provide application programming interface for retrieving pay per call advertisements
US7428497B2 (en) * 2003-10-06 2008-09-23 Utbk, Inc. Methods and apparatuses for pay-per-call advertising in mobile/wireless applications
US8934614B2 (en) * 2005-02-25 2015-01-13 YP Interatcive LLC Systems and methods for dynamic pay for performance advertisements
US8837698B2 (en) * 2003-10-06 2014-09-16 Yp Interactive Llc Systems and methods to collect information just in time for connecting people for real time communications
US8140389B2 (en) 2003-10-06 2012-03-20 Utbk, Inc. Methods and apparatuses for pay for deal advertisements
US8599832B2 (en) 2005-09-28 2013-12-03 Ingenio Llc Methods and apparatuses to connect people for real time communications via voice over internet protocol (VOIP)
US8538768B2 (en) 2005-02-16 2013-09-17 Ingenio Llc Methods and apparatuses for delivery of advice to mobile/wireless devices
US7120235B2 (en) * 2003-10-06 2006-10-10 Ingenio, Inc. Method and apparatus to provide pay-per-call performance based advertising
US8190893B2 (en) 2003-10-27 2012-05-29 Jp Morgan Chase Bank Portable security transaction protocol
US9152624B1 (en) 2003-12-04 2015-10-06 Retail Optimization International, Inc. Systems and methods for visual presentation and navigation of content using data-based image analysis
US7783555B2 (en) * 2003-12-11 2010-08-24 Ebay Inc. Auction with interest rate bidding
US7487435B2 (en) * 2003-12-12 2009-02-03 Dynamic Logic, Inc. Method and system for conducting an on-line survey
US20050129236A1 (en) * 2003-12-15 2005-06-16 Nokia, Inc. Apparatus and method for data source authentication for multicast security
US7769161B1 (en) * 2003-12-17 2010-08-03 Avaya, Inc. Contact center
US7261239B2 (en) * 2003-12-17 2007-08-28 Bindu Rama Rao Questionnaire network for mobile handsets and a trading system for contracts on user commitments to answer questionnaires
US20100174826A1 (en) * 2003-12-23 2010-07-08 Anupam Sharma Information gathering system and method
US20050165706A1 (en) * 2003-12-29 2005-07-28 Daniela Giacchetti Beauty-related diagnostic methods and systems
US20050198174A1 (en) * 2003-12-30 2005-09-08 Loder Theodore C. Economic solution to the spam problem
US7392386B2 (en) * 2004-01-28 2008-06-24 J P Morgan Chase Bank Setuid-filter method for providing secure access to a credentials store for computer systems
US7885901B2 (en) * 2004-01-29 2011-02-08 Yahoo! Inc. Method and system for seeding online social network contacts
US20090313163A1 (en) * 2004-02-13 2009-12-17 Wang ming-huan Credit line optimization
US7983896B2 (en) 2004-03-05 2011-07-19 SDL Language Technology In-context exact (ICE) matching
EP1745359A2 (en) * 2004-03-05 2007-01-24 The National Research Exchange, Inc. Paid-for research method and system
US7702767B2 (en) * 2004-03-09 2010-04-20 Jp Morgan Chase Bank User connectivity process management system
US8024224B2 (en) * 2004-03-10 2011-09-20 Utbk, Inc. Method and apparatus to provide pay-per-call advertising and billing
US20050204378A1 (en) * 2004-03-10 2005-09-15 Shay Gabay System and method for video content analysis-based detection, surveillance and alarm management
US8086484B1 (en) * 2004-03-17 2011-12-27 Helium, Inc. Method for managing collaborative quality review of creative works
US7502804B2 (en) * 2004-03-17 2009-03-10 Hrvision Ltd. Method of candidate selection using an organization-specific job profile
US7097617B1 (en) 2004-03-31 2006-08-29 Wallace Lynn Smith Method for diagnosis of pain relief probability through medical treatment
US8380655B2 (en) * 2004-04-02 2013-02-19 Xpertuniverse, Inc. Management of expert resources using seeker profiles
US7366709B2 (en) * 2004-04-02 2008-04-29 Xpertuniverse, Inc. System and method for managing questions and answers using subject lists styles
US20050222869A1 (en) * 2004-04-06 2005-10-06 Bealke Bruce B Double blind evaluation method for malpractice claims
US20060106636A1 (en) * 2004-04-08 2006-05-18 Hillel Segal Internet-based job placement system for creating proposals for screened and pre-qualified participants
US20050228709A1 (en) * 2004-04-08 2005-10-13 Hillel Segal Internet-based job placement system for managing proposals for screened and pre-qualified participants
US7386572B2 (en) * 2004-04-14 2008-06-10 Nancy Kramer System and method for a modular user controlled search engine
US7742997B1 (en) 2004-04-23 2010-06-22 Jpmorgan Chase Bank, N.A. System and method for management and delivery of content and rules
US20050240443A1 (en) * 2004-04-23 2005-10-27 Ester Salman Method and system for accepting data related to a patient
US7424442B2 (en) 2004-05-04 2008-09-09 Utbk, Inc. Method and apparatus to allocate and recycle telephone numbers in a call-tracking system
US20050267808A1 (en) * 2004-05-28 2005-12-01 Bentley Alfred Y Iii Innovation signature management system
JP2005352702A (en) * 2004-06-09 2005-12-22 Fujitsu Ltd Procurement negotiation program and negotiation-proxy program
US7593871B1 (en) * 2004-06-14 2009-09-22 Ewinwin, Inc. Multiple price curves and attributes
US8082207B2 (en) * 2004-06-17 2011-12-20 Certegy Check Services, Inc. Scored negative file system and method
US20060281523A1 (en) * 2004-06-23 2006-12-14 Walker Jay S Video content determinative keno game system and method
US7850518B2 (en) * 2004-06-23 2010-12-14 Walker Digital, Llc Video content determinative Keno game system and method
US20050288096A1 (en) * 2004-06-23 2005-12-29 Walker Digital, Llc Methods and apparatus for facilitating a payout at a gaming device using audio / video content
US8597101B2 (en) * 2004-06-23 2013-12-03 Igt Video content determinative keno game system and method
US7827067B2 (en) * 2004-06-30 2010-11-02 Industrial Technology Research Institute Device and method for time and knowledge exchange and management
US20060004621A1 (en) * 2004-06-30 2006-01-05 Malek Kamal M Real-time selection of survey candidates
US20060003306A1 (en) * 2004-07-02 2006-01-05 Mcginley Michael P Unified web-based system for the delivery, scoring, and reporting of on-line and paper-based assessments
US20060014131A1 (en) * 2004-07-15 2006-01-19 International Business Machines Corporation Dynamically developing education plans utilizing user preferences and/or constraints
US20060026089A1 (en) * 2004-07-29 2006-02-02 Webe Yellow, Inc. Telephonic device to connect query initiator to provider
CA2512073A1 (en) * 2004-07-30 2006-01-30 Council Of Better Business Bureaus, Inc. Method and system for information retrieval and evaluation of an organization
US7310625B2 (en) * 2004-08-12 2007-12-18 Sap Aktiengesellschaft Knowledge network generation
US20060036562A1 (en) * 2004-08-12 2006-02-16 Yuh-Cherng Wu Knowledge elicitation
US7444315B2 (en) * 2004-08-12 2008-10-28 Sap Aktiengesellschaft Virtual community generation
US8924247B2 (en) * 2004-08-19 2014-12-30 LoadPoint, Inc Ranking system using instant post-transaction surveying of transaction judges
US20060080121A1 (en) * 2004-08-25 2006-04-13 Chiang Lawrence H Third-party confirmation of self-populated data
US7865457B2 (en) * 2004-08-25 2011-01-04 International Business Machines Corporation Knowledge management system automatically allocating expert resources
JP2006065635A (en) * 2004-08-27 2006-03-09 Benetsuse Corp:Kk Business consignment management system
US8533030B1 (en) 2004-08-30 2013-09-10 Jpmorgan Chase Bank, N.A. In-bound telemarketing system for processing customer offers
US20070005490A1 (en) * 2004-08-31 2007-01-04 Gopalakrishnan Kumar C Methods and System for Distributed E-commerce
US20060047528A1 (en) * 2004-08-31 2006-03-02 Johnson Steven W Internet service for facilitating delivery of inquiries and answers, and accounting for associated financial transactions
US8370323B2 (en) 2004-08-31 2013-02-05 Intel Corporation Providing information services related to multimodal inputs
EP1810182A4 (en) * 2004-08-31 2010-07-07 Kumar Gopalakrishnan Method and system for providing information services relevant to visual imagery
US7444323B2 (en) * 2004-09-02 2008-10-28 International Business Machines Corporation System and method for focused routing of content to dynamically determined groups of reviewers
US7505981B2 (en) * 2004-09-13 2009-03-17 International Business Machines Corporation Method for evolving efficient communications
US7792750B2 (en) * 2004-09-22 2010-09-07 Sap Ag Submitting requests with degrees of satisfaction to be used for fuzzy evaluation of responses
US7461013B2 (en) * 2004-09-22 2008-12-02 Sap Ag Fuzzy evaluation of responses to provide degree of satisfaction
US20120331057A1 (en) * 2004-09-28 2012-12-27 Reagan Inventions, Llc Portal for sharing data over a network
US7936863B2 (en) * 2004-09-30 2011-05-03 Avaya Inc. Method and apparatus for providing communication tasks in a workflow
US8180722B2 (en) * 2004-09-30 2012-05-15 Avaya Inc. Method and apparatus for data mining within communication session information using an entity relationship model
US8107401B2 (en) * 2004-09-30 2012-01-31 Avaya Inc. Method and apparatus for providing a virtual assistant to a communication participant
US8270320B2 (en) * 2004-09-30 2012-09-18 Avaya Inc. Method and apparatus for launching a conference based on presence of invitees
US20060080593A1 (en) * 2004-10-08 2006-04-13 Alexander Hudspith System and method for generating computer-readable documents
WO2006045102A3 (en) 2004-10-20 2008-11-13 Seven Networks Inc Method and apparatus for intercepting events in a communication system
US8010082B2 (en) * 2004-10-20 2011-08-30 Seven Networks, Inc. Flexible billing architecture
US8170897B1 (en) 2004-11-16 2012-05-01 Amazon Technologies, Inc. Automated validation of results of human performance of tasks
US7881957B1 (en) 2004-11-16 2011-02-01 Amazon Technologies, Inc. Identifying tasks for task performers based on task subscriptions
US8046250B1 (en) 2004-11-16 2011-10-25 Amazon Technologies, Inc. Facilitating performance by task performers of language-specific tasks
US20060106774A1 (en) * 2004-11-16 2006-05-18 Cohen Peter D Using qualifications of users to facilitate user performance of tasks
US7885844B1 (en) 2004-11-16 2011-02-08 Amazon Technologies, Inc. Automatically generating task recommendations for human task performers
US8005697B1 (en) 2004-11-16 2011-08-23 Amazon Technologies, Inc. Performing automated price determination for tasks to be performed
US7945469B2 (en) * 2004-11-16 2011-05-17 Amazon Technologies, Inc. Providing an electronic marketplace to facilitate human performance of programmatically submitted tasks
US7702565B2 (en) * 2004-11-17 2010-04-20 Q Tech Systems, Llc Reverse billing in online search
US7706781B2 (en) * 2004-11-22 2010-04-27 Seven Networks International Oy Data security in a mobile e-mail service
US7643818B2 (en) * 2004-11-22 2010-01-05 Seven Networks, Inc. E-mail messaging to/from a mobile terminal
US7774248B1 (en) 2004-11-30 2010-08-10 Jp Morgan Chase Bank Method and apparatus for managing risk
FI117152B (en) * 2004-12-03 2006-06-30 Seven Networks Internat Oy The introduction of mobile e-mail settings
US7769627B2 (en) * 2004-12-16 2010-08-03 International Business Machines Corporation Assessing survey presentations
US20060136243A1 (en) * 2004-12-22 2006-06-22 Mark Cady Apparatus and method for administering a scholastic application program
US20060149664A1 (en) * 2004-12-30 2006-07-06 Jp Morgan Chase Bank Marketing system and method
US8935229B1 (en) 2005-01-12 2015-01-13 West Services, Inc. System for determining and displaying legal-practice trends and identifying corporate legal needs
US7499903B2 (en) * 2005-01-24 2009-03-03 Nevin James B Semantic to non-semantic routing for locating a live expert
WO2006086661A3 (en) * 2005-02-10 2006-10-26 Above Sea Level Llc Lead generation method and system
JP5172354B2 (en) * 2005-02-11 2013-03-27 ヴォルト インフォメーション サイエンシズ インコーポレーテッドVolt Information Sciences Inc. Management information and business information synergy system and method of the plan / range change of project work
US9202219B2 (en) * 2005-02-16 2015-12-01 Yellowpages.Com Llc System and method to merge pay-for-performance advertising models
US20060190723A1 (en) * 2005-02-18 2006-08-24 Jp Morgan Chase Bank Payload layer security for file transfer
US20070174124A1 (en) * 2005-02-25 2007-07-26 Utbk, Inc. Methods and Apparatuses for Prioritizing Featured Listings
US7979308B2 (en) * 2005-03-03 2011-07-12 Utbk, Inc. Methods and apparatuses for sorting lists for presentation
US20060200360A1 (en) * 2005-03-04 2006-09-07 Aleksey Razletovskiy Online auction of leads
US7752633B1 (en) 2005-03-14 2010-07-06 Seven Networks, Inc. Cross-platform event engine
US20080306768A1 (en) * 2005-03-21 2008-12-11 Medem, Inc. Healthcare Notification Method And System Including A Healthcare Website
US20060212312A1 (en) * 2005-03-21 2006-09-21 Medem, Inc. Healthcare notification system
US20110145018A1 (en) * 2005-03-21 2011-06-16 Fotsch Edward J Drug and medical device safety and support information reporting system, processing device and method
US8401871B2 (en) * 2005-03-21 2013-03-19 Pnc Bank, National Association Healthcare notification method and system including a healthcare website
US7756878B2 (en) * 2005-03-31 2010-07-13 At&T Intellectual Property I, L.P. E-mail response system
EP1869585A2 (en) * 2005-04-12 2007-12-26 Inlive Interactive Ltd. Market surveying
US7796742B1 (en) 2005-04-21 2010-09-14 Seven Networks, Inc. Systems and methods for simplified provisioning
US8438633B1 (en) 2005-04-21 2013-05-07 Seven Networks, Inc. Flexible real-time inbox access
US20060259347A1 (en) * 2005-05-13 2006-11-16 Zentaro Ohashi Automatic gathering of customer satisfaction information
US8517742B1 (en) * 2005-05-17 2013-08-27 American Express Travel Related Services Company, Inc. Labor resource testing system and method
US20060265368A1 (en) * 2005-05-23 2006-11-23 Opinionlab, Inc. Measuring subjective user reaction concerning a particular document
US20060271437A1 (en) * 2005-05-26 2006-11-30 Maggio Frank S System and method for home product delivery
US7617134B2 (en) * 2005-06-17 2009-11-10 Match.Com, L.L.C. System and method for providing a certified photograph in a network environment
WO2006136660A1 (en) 2005-06-21 2006-12-28 Seven Networks International Oy Maintaining an ip connection in a mobile network
US8185877B1 (en) 2005-06-22 2012-05-22 Jpmorgan Chase Bank, N.A. System and method for testing applications
US20070179958A1 (en) * 2005-06-29 2007-08-02 Weidong Chen Methods and apparatuses for searching and categorizing messages within a network system
US8539027B1 (en) * 2005-06-29 2013-09-17 Cisco Technology, Inc. System and method for suggesting additional participants for a collaboration session
KR100673065B1 (en) * 2005-07-15 2007-02-05 정경식 System and its method for exchanging case accepted by experts
US20070027751A1 (en) * 2005-07-29 2007-02-01 Chad Carson Positioning advertisements on the bases of expected revenue
US7917468B2 (en) * 2005-08-01 2011-03-29 Seven Networks, Inc. Linking of personal information management data
US7853563B2 (en) * 2005-08-01 2010-12-14 Seven Networks, Inc. Universal data aggregation
US8069166B2 (en) 2005-08-01 2011-11-29 Seven Networks, Inc. Managing user-to-user contact with inferred presence information
US8468126B2 (en) 2005-08-01 2013-06-18 Seven Networks, Inc. Publishing data in an information community
RU2429537C2 (en) * 2005-08-01 2011-09-20 Вольт Информейшн Сайенсиз Инк. System and method for monitoring service level agreement by third party
US8335723B2 (en) 2005-08-09 2012-12-18 Walker Digital, Llc Apparatus, systems and methods for facilitating commerce
US20070038754A1 (en) * 2005-08-12 2007-02-15 Enrique Nunez Open-innovation network
US7925578B1 (en) 2005-08-26 2011-04-12 Jpmorgan Chase Bank, N.A. Systems and methods for performing scoring optimization
US8677377B2 (en) 2005-09-08 2014-03-18 Apple Inc. Method and apparatus for building an intelligent automated assistant
US8447640B2 (en) * 2005-09-13 2013-05-21 Yedda, Inc. Device, system and method of handling user requests
US9432468B2 (en) * 2005-09-14 2016-08-30 Liveperson, Inc. System and method for design and dynamic generation of a web page
US8738732B2 (en) * 2005-09-14 2014-05-27 Liveperson, Inc. System and method for performing follow up based on user interactions
US8583926B1 (en) 2005-09-19 2013-11-12 Jpmorgan Chase Bank, N.A. System and method for anti-phishing authentication
US8051013B2 (en) * 2005-09-27 2011-11-01 Match.Com, L.L.C. System and method for providing a system that includes on-line and off-line features in a network environment
US20070073549A1 (en) * 2005-09-27 2007-03-29 Match.Com, L.P. System and method for providing testing and matching in a network environment
US7676466B2 (en) * 2005-09-27 2010-03-09 Match.Com, L.L.C. System and method for providing enhanced questions for matching in a network environment
US20070073711A1 (en) * 2005-09-27 2007-03-29 Match.Com, L.P. System and method for providing a pre-date component in a network environment
US20070073802A1 (en) * 2005-09-27 2007-03-29 Match.Com, L.P. System and method for providing on-line dating features in a network environment
US7613706B2 (en) * 2005-09-27 2009-11-03 Match.Com L.L.C. System and method for providing a search feature in a network environment
US8473490B2 (en) 2005-09-27 2013-06-25 Match.Com, L.L.C. System and method for providing a near matches feature in a network environment
US20070072468A1 (en) * 2005-09-27 2007-03-29 Match.Com, L.P. System and method for providing an enhanced selection process in a network environment
US20070073803A1 (en) * 2005-09-27 2007-03-29 Match.Com, L.P. System and method for providing a post-date component in a network environment
US8761154B2 (en) 2005-09-28 2014-06-24 Ebbe Altberg Methods and apparatuses to access advertisements through voice over internet protocol (VoIP) applications
US8874477B2 (en) 2005-10-04 2014-10-28 Steven Mark Hoffberg Multifactorial optimization system and method
CA2524527A1 (en) 2005-10-26 2007-04-26 Ibm Canada Limited - Ibm Canada Limitee Systems, methods and tools for facilitating group collaborations
CA2525267A1 (en) * 2005-10-28 2007-04-28 Ibm Canada Limited - Ibm Canada Limitee Systems, methods and tools for aggregating subsets of opinions from group collaborations
WO2007053617A3 (en) 2005-10-31 2008-01-03 Mark Patrick Delong Methods and systems for controlling temperature of a bushing
US20070266033A1 (en) * 2005-12-05 2007-11-15 Matchinform, Incorporated System and method for profiling members of dating servers
US9471924B2 (en) * 2005-12-08 2016-10-18 International Business Machines Corporation Control of digital media character replacement using personalized rulesets
US8683333B2 (en) * 2005-12-08 2014-03-25 International Business Machines Corporation Brokering of personalized rulesets for use in digital media character replacement
US20070260688A1 (en) * 2005-12-23 2007-11-08 Robinson Andrew F Method of determining a refund on a communications network
US20070165804A1 (en) * 2006-01-10 2007-07-19 Utbk, Inc. Systems and Methods to Convert a Free Call to a Fee-Based Call
US9197479B2 (en) 2006-01-10 2015-11-24 Yellowpages.Com Llc Systems and methods to manage a queue of people requesting real time communication connections
US7720091B2 (en) 2006-01-10 2010-05-18 Utbk, Inc. Systems and methods to arrange call back
US8437256B2 (en) * 2006-01-10 2013-05-07 Utbk, Llc Systems and methods to provide communication connections
US20070189520A1 (en) * 2006-01-10 2007-08-16 Utbk, Inc. Systems and Methods to Facilitate Transition from Communication to Commerce
US20070165841A1 (en) * 2006-01-10 2007-07-19 Scott Faber Systems and methods to provide guidance during a process to establish a communication connection
US8125931B2 (en) * 2006-01-10 2012-02-28 Utbk, Inc. Systems and methods to provide availability indication
US20070174187A1 (en) * 2006-01-10 2007-07-26 Utbk, Inc. Systems and methods to process payment
CA2636197A1 (en) * 2006-01-20 2007-07-26 Topcoder, Inc. System and method for design development
US8266130B2 (en) 2006-01-23 2012-09-11 Chacha Search, Inc. Search tool providing optional use of human search guides
US8065286B2 (en) * 2006-01-23 2011-11-22 Chacha Search, Inc. Scalable search system using human searchers
US20070174258A1 (en) * 2006-01-23 2007-07-26 Jones Scott A Targeted mobile device advertisements
US8117196B2 (en) * 2006-01-23 2012-02-14 Chacha Search, Inc. Search tool providing optional use of human search guides
US8489497B1 (en) 2006-01-27 2013-07-16 Jpmorgan Chase Bank, N.A. Online interactive and partner-enhanced credit card
US20080010351A1 (en) * 2006-01-31 2008-01-10 Digital River, Inc. Survey polling system and method
WO2008084211A3 (en) 2007-01-09 2008-10-02 Spinvox Ltd Method of generating useful, related links from a text based message
US20070239543A1 (en) * 2006-02-24 2007-10-11 Ammas. Com Limited Promotional system
US20060122903A1 (en) * 2006-02-25 2006-06-08 Medrano Guillermo A Cross-Cultural and Personality Support System and Method
WO2007103583A3 (en) * 2006-03-09 2008-05-08 Vadim Brenner Method and system for media navigation
US20070219795A1 (en) * 2006-03-20 2007-09-20 Park Joseph C Facilitating content generation via paid participation
US8751327B2 (en) * 2006-03-20 2014-06-10 Amazon Technologies, Inc. Facilitating content generation via messaging system interactions
US8930282B2 (en) * 2006-03-20 2015-01-06 Amazon Technologies, Inc. Content generation revenue sharing
US20070219958A1 (en) * 2006-03-20 2007-09-20 Park Joseph C Facilitating content generation via participant interactions
WO2007107883A8 (en) 2006-03-23 2013-06-13 Walker Digital, Llc Content determinative game systems and methods for keno and lottery games
US20070244800A1 (en) * 2006-03-30 2007-10-18 Habin Lee Work allocation system
US8024211B1 (en) 2006-03-31 2011-09-20 Amazon Technologies, Inc. Automatically generating assessments of qualification relevance and qualification issuer credibility
CA2648090A1 (en) * 2006-03-31 2007-10-18 Mark Golczewski Educational system and method having virtual classrooms
DE102006015961A1 (en) * 2006-04-05 2007-10-18 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. The device, method and computer program for processing a search request
US8608477B2 (en) * 2006-04-06 2013-12-17 Vantage Technologies Knowledge Assessment, L.L.C. Selective writing assessment with tutoring
US20070290878A1 (en) * 2006-04-07 2007-12-20 Media Ip Holdings, Llc System and method for interacting with automobile race and advertising content
US20080032277A1 (en) * 2006-04-08 2008-02-07 Media Ip Holdings, Llc Dynamic multiple choice answers
US20070259325A1 (en) * 2006-04-22 2007-11-08 Clapper Rock L Internet-based method and system for human-human question and answer sessions in delayed and real time
US20070250378A1 (en) * 2006-04-24 2007-10-25 Hughes John M Systems and methods for conducting production competitions
US20080052146A1 (en) * 2006-05-01 2008-02-28 David Messinger Project management system
US20070282663A1 (en) * 2006-05-11 2007-12-06 Michael Best Friedrich Llp Group purchase program systems and methods
US20070282680A1 (en) * 2006-05-31 2007-12-06 Davis Corey T Systems and methods for providing an electronic channel for content generation and delivery
US20070282904A1 (en) * 2006-06-05 2007-12-06 Kreig Mitchell Online referral system and method of use
US20080005011A1 (en) * 2006-06-14 2008-01-03 Microsoft Corporation Managing information solicitations across a network
US20070294349A1 (en) * 2006-06-15 2007-12-20 Microsoft Corporation Performing tasks based on status information
US20080004880A1 (en) * 2006-06-15 2008-01-03 Microsoft Corporation Personalized speech services across a network
US20090210307A1 (en) * 2006-06-19 2009-08-20 David Bruce Plunkett Method and system for promoting service providers
US7769395B2 (en) 2006-06-20 2010-08-03 Seven Networks, Inc. Location-based operations and messaging
US20070290787A1 (en) * 2006-06-20 2007-12-20 Trevor Fiatal Systems and methods for group messaging
US8200569B1 (en) 2006-06-22 2012-06-12 Power Financial Group, Inc. Option search criteria testing
US20080010124A1 (en) * 2006-06-27 2008-01-10 Microsoft Corporation Managing commitments of time across a network
US7899694B1 (en) 2006-06-30 2011-03-01 Amazon Technologies, Inc. Generating solutions to problems via interactions with human responders
US8671008B2 (en) * 2006-07-14 2014-03-11 Chacha Search, Inc Method for notifying task providers to become active using instant messaging
US7792967B2 (en) * 2006-07-14 2010-09-07 Chacha Search, Inc. Method and system for sharing and accessing resources
US8793490B1 (en) 2006-07-14 2014-07-29 Jpmorgan Chase Bank, N.A. Systems and methods for multifactor authentication
WO2008011454A3 (en) 2006-07-18 2008-10-02 Chacha Search Inc Anonymous search system using human searchers
WO2008011537A3 (en) * 2006-07-19 2008-11-06 Chacha Search Inc Method, system, and computer readable medium useful in managing a computer-based system for servicing user initiated tasks
US20080021885A1 (en) * 2006-07-24 2008-01-24 Chacha Search, Inc. System for substantially immediate payment for search related tasks
US8775237B2 (en) 2006-08-02 2014-07-08 Opinionlab, Inc. System and method for measuring and reporting user reactions to advertisements on a web page
US7801879B2 (en) * 2006-08-07 2010-09-21 Chacha Search, Inc. Method, system, and computer readable storage for affiliate group searching
US20080077468A1 (en) * 2006-08-10 2008-03-27 Yahoo! Inc. Managing responses to extended interviews to enable profiling of mobile device users
CA2557344A1 (en) * 2006-08-28 2008-02-28 Consumer Contact Ulc Data collection system and method
US7809602B2 (en) * 2006-08-31 2010-10-05 Opinionlab, Inc. Computer-implemented system and method for measuring and reporting business intelligence based on comments collected from web page users using software associated with accessed web pages
JP2010503072A (en) * 2006-09-02 2010-01-28 ティーティービー テクノロジーズ,エルエルシー Computer-based meeting how to prepare and implement the system
EP2074563A4 (en) * 2006-09-18 2013-08-28 Cint Ab Communication system
US8521506B2 (en) 2006-09-21 2013-08-27 Sdl Plc Computer-implemented method, computer software and apparatus for use in a translation system
US9697486B2 (en) * 2006-09-29 2017-07-04 Amazon Technologies, Inc. Facilitating performance of tasks via distribution using third-party sites
US7945470B1 (en) 2006-09-29 2011-05-17 Amazon Technologies, Inc. Facilitating performance of submitted tasks by mobile task performers
US8700014B2 (en) 2006-11-22 2014-04-15 Bindu Rama Rao Audio guided system for providing guidance to user of mobile device on multi-step activities
US20080126119A1 (en) * 2006-11-24 2008-05-29 General Electric Company, A New York Corporation Systems, methods and apparatus for a network application framework system
US7921031B2 (en) * 2006-11-29 2011-04-05 International Business Machines Corporation Custom survey generation method and system
US8793756B2 (en) * 2006-12-20 2014-07-29 Dst Technologies, Inc. Secure processing of secure information in a non-secure environment
JP2007141253A (en) * 2006-12-25 2007-06-07 Rich Pictures Inc Counseling service providing method via internet
US20080167960A1 (en) * 2007-01-08 2008-07-10 Topcoder, Inc. System and Method for Collective Response Aggregation
US8837710B2 (en) * 2007-02-08 2014-09-16 Yp Interactive Llc Systems and methods to facilitate searches
US9209984B2 (en) * 2007-02-08 2015-12-08 Yellowpages.Com Llc Systems and methods to facilitate communications
US20080196000A1 (en) * 2007-02-14 2008-08-14 Fernandez-Lvern Javier System and method for software development
US8451825B2 (en) 2007-02-22 2013-05-28 Utbk, Llc Systems and methods to confirm initiation of a callback
US20080215541A1 (en) * 2007-03-01 2008-09-04 Microsoft Corporation Techniques for searching web forums
US20080222055A1 (en) * 2007-03-07 2008-09-11 Hughes John M System and Method for Creating Musical Works
US8073792B2 (en) * 2007-03-13 2011-12-06 Topcoder, Inc. System and method for content development
US20080235375A1 (en) * 2007-03-19 2008-09-25 Uwho Llc Social networking online community
US20080235189A1 (en) * 2007-03-23 2008-09-25 Drew Rayman System for searching for information based on personal interactions and presences and methods thereof
WO2008119083A1 (en) * 2007-03-28 2008-10-02 Cheryl Milone Requesting prior art from the public in exchange for a reward
US20080243539A1 (en) * 2007-03-31 2008-10-02 Barish Matthew A Method and System for Exchanging, Storing, and Analyzing Health Information
US8977255B2 (en) 2007-04-03 2015-03-10 Apple Inc. Method and system for operating a multi-function portable electronic device using voice-activation
US8473386B2 (en) 2007-04-10 2013-06-25 Ingenio Llc Systems and methods to facilitate real time communications between members of a social network
US20080262910A1 (en) * 2007-04-20 2008-10-23 Utbk, Inc. Methods and Systems to Connect People via Virtual Reality for Real Time Communications
US20080263446A1 (en) * 2007-04-20 2008-10-23 Utbk, Inc. Methods and Systems to Connect People to Services via Virtual Reality
US20080263460A1 (en) * 2007-04-20 2008-10-23 Utbk, Inc. Methods and Systems to Connect People for Virtual Meeting in Virtual Reality
US8200663B2 (en) 2007-04-25 2012-06-12 Chacha Search, Inc. Method and system for improvement of relevance of search results
US8396054B2 (en) 2007-05-03 2013-03-12 Utbk, Llc Systems and methods to facilitate searches of communication references
US9105032B2 (en) * 2007-05-03 2015-08-11 Yellowpages.Com Llc Systems and methods to provide advertisements for real time communications
US8473735B1 (en) 2007-05-17 2013-06-25 Jpmorgan Chase Systems and methods for managing digital certificates
US7831619B2 (en) * 2007-05-30 2010-11-09 International Business Machines Corporation Method of and system for maximizing the return rate of dynamic inquiries into a population
US8805425B2 (en) 2007-06-01 2014-08-12 Seven Networks, Inc. Integrated messaging
US8693494B2 (en) * 2007-06-01 2014-04-08 Seven Networks, Inc. Polling
US8320368B2 (en) 2007-06-18 2012-11-27 Utbk, Inc. Systems and methods to provide communication references based on recommendations to connect people for real time communications
US9277019B2 (en) 2007-06-18 2016-03-01 Yellowpages.Com Llc Systems and methods to provide communication references to connect people for real time communications
US8681952B2 (en) * 2007-06-18 2014-03-25 Ingenio Llc Systems and methods to selectively provide telephonic connections
JP5082619B2 (en) * 2007-06-25 2012-11-28 富士ゼロックス株式会社 Information processing apparatus and program
US8532276B2 (en) 2007-06-26 2013-09-10 Ingenio Llc Systems and methods to provide telephonic connections via concurrent calls
US20090006240A1 (en) * 2007-06-29 2009-01-01 Xirong Zhao System and Method of a Trading Room
US8280018B2 (en) 2007-07-06 2012-10-02 Utbk, Inc. Systems and methods to provide information via connections for real time communications between people
US8185437B2 (en) 2007-07-12 2012-05-22 Utbk, Inc. Systems and methods to provide communication connections via partners
US20090037309A1 (en) * 2007-07-31 2009-02-05 Utbk, Inc. Systems and Methods to Convert a Real Time Communication Connection
US20090048928A1 (en) * 2007-08-14 2009-02-19 John Nicholas Gross Temporal Based Online Search and Advertising
US20090061406A1 (en) * 2007-08-28 2009-03-05 Yahoo! Inc. Constructing a profile using self-descriptive images for use in a social environment
US8838476B2 (en) * 2007-09-07 2014-09-16 Yp Interactive Llc Systems and methods to provide information and connect people for real time communications
US20090177535A1 (en) * 2007-09-18 2009-07-09 Pmp Corporation System and method for monitoring and executing substitute fulfillment
US8295465B2 (en) 2007-09-25 2012-10-23 Utbk, Inc. Systems and methods to connect members of a social network for real time communication
US9053089B2 (en) 2007-10-02 2015-06-09 Apple Inc. Part-of-speech tagging using latent analogy
US20090089147A1 (en) * 2007-10-02 2009-04-02 American Well Inc. Provider supply & consumer demand management
US20090098526A1 (en) * 2007-10-13 2009-04-16 Ahmad Amiri Systems & Methods for Improving Academia
US7991624B2 (en) * 2007-10-31 2011-08-02 Article One Partners Holdings Method and system for the requesting receipt and exchange of information
WO2009062033A1 (en) * 2007-11-09 2009-05-14 Topcoder, Inc. System and method for software development
US20090182677A1 (en) * 2007-11-14 2009-07-16 Jonathan Otto Upsell system embedded in a system and controlled by a third party
US9026483B1 (en) 2007-11-19 2015-05-05 Amazon Technologies, Inc. Automatic prediction of aspects of human task performance
US7454478B1 (en) * 2007-11-30 2008-11-18 International Business Machines Corporation Business message tracking system using message queues and tracking queue for tracking transaction messages communicated between computers
US20090144068A1 (en) * 2007-11-30 2009-06-04 Utbk, Inc. Methods and Apparatuses to Provide Connections for Real Time Communications
US8364181B2 (en) 2007-12-10 2013-01-29 Seven Networks, Inc. Electronic-mail filtering for mobile devices
US9002828B2 (en) 2007-12-13 2015-04-07 Seven Networks, Inc. Predictive content delivery
US8793305B2 (en) 2007-12-13 2014-07-29 Seven Networks, Inc. Content delivery to a mobile device from a content service
US8121888B1 (en) 2007-12-14 2012-02-21 Amazon Technologies, Inc. Facilitating improvement of results of human performance of tasks
US8219492B2 (en) * 2007-12-17 2012-07-10 Yahoo! Inc. System and method for internet marketing by endorsements
US9330720B2 (en) 2008-01-03 2016-05-03 Apple Inc. Methods and apparatus for altering audio output signals
US20090177649A1 (en) * 2008-01-04 2009-07-09 Yen-Wu Hsieh Answer Search System and Method
US8140366B2 (en) * 2008-01-04 2012-03-20 Frontline Technologies, Inc. Method, system and program product for filling job orders
US9177485B2 (en) * 2008-01-11 2015-11-03 Infosys Limited Method and system for automatically generating questions for a programming language
WO2009089447A1 (en) * 2008-01-11 2009-07-16 Topcoder, Inc. System and method for conducting competitions
US8107921B2 (en) 2008-01-11 2012-01-31 Seven Networks, Inc. Mobile virtual network operator
US8321682B1 (en) 2008-01-24 2012-11-27 Jpmorgan Chase Bank, N.A. System and method for generating and managing administrator passwords
US8577894B2 (en) * 2008-01-25 2013-11-05 Chacha Search, Inc Method and system for access to restricted resources
US8862657B2 (en) 2008-01-25 2014-10-14 Seven Networks, Inc. Policy based content service
US20090193338A1 (en) * 2008-01-28 2009-07-30 Trevor Fiatal Reducing network and battery consumption during content delivery and playback
US20110184868A1 (en) * 2008-01-31 2011-07-28 Bill.Com, Inc. Enhanced invitation process for electronic billing and payment system
US20110196786A1 (en) * 2008-01-31 2011-08-11 Rene Lacerte Determining trustworthiness and familiarity of users of an electronic billing and payment system
US20110184843A1 (en) * 2008-01-31 2011-07-28 Bill.Com, Inc. Enhanced electronic anonymous payment system
US9141991B2 (en) 2008-01-31 2015-09-22 Bill.Com, Inc. Enhanced electronic data and metadata interchange system and process for electronic billing and payment system
US7707089B1 (en) 2008-03-12 2010-04-27 Jpmorgan Chase, N.A. Method and system for automating fraud authorization strategies
US7865455B2 (en) * 2008-03-13 2011-01-04 Opinionlab, Inc. System and method for providing intelligent support
US8032515B2 (en) * 2008-03-26 2011-10-04 Ebay Inc. Information repository search system
US20090248670A1 (en) * 2008-03-31 2009-10-01 Trevor Fiatal Content search engine
US8996376B2 (en) 2008-04-05 2015-03-31 Apple Inc. Intelligent text-to-speech conversion
JP2011524044A (en) * 2008-05-21 2011-08-25 トゥールナ ユーエスエー,インコーポレイテッドToluna Usa,Inc. The system and method prevent the attempts of duplicate survey
US20090299853A1 (en) * 2008-05-27 2009-12-03 Chacha Search, Inc. Method and system of improving selection of search results
US8219432B1 (en) 2008-06-10 2012-07-10 Amazon Technologies, Inc. Automatically controlling availability of tasks for performance by human users
US8787947B2 (en) * 2008-06-18 2014-07-22 Seven Networks, Inc. Application discovery on mobile devices
US8078158B2 (en) 2008-06-26 2011-12-13 Seven Networks, Inc. Provisioning applications for a mobile device
US20100005026A1 (en) * 2008-07-03 2010-01-07 Johnathan Waldman Method of communication implemented by a dating network
US9680996B2 (en) * 2008-07-16 2017-06-13 Cisco Technology, Inc. Method and apparatus for scheduling callbacks via offline offer tasks to knowledge workers
US8762313B2 (en) 2008-07-25 2014-06-24 Liveperson, Inc. Method and system for creating a predictive model for targeting web-page to a surfer
US8799200B2 (en) 2008-07-25 2014-08-05 Liveperson, Inc. Method and system for creating a predictive model for targeting webpage to a surfer
US20100030549A1 (en) 2008-07-31 2010-02-04 Lee Michael M Mobile device having human language translation capability with positional feedback
US8805844B2 (en) 2008-08-04 2014-08-12 Liveperson, Inc. Expert search
US8788476B2 (en) * 2008-08-15 2014-07-22 Chacha Search, Inc. Method and system of triggering a search request
US20100049800A1 (en) * 2008-08-20 2010-02-25 International Business Machines Corporation Facilitated Help With Program Function From Experienced Users
US8195668B2 (en) * 2008-09-05 2012-06-05 Match.Com, L.L.C. System and method for providing enhanced matching based on question responses
US8898568B2 (en) 2008-09-09 2014-11-25 Apple Inc. Audio user interface
GB0816582D0 (en) * 2008-09-11 2008-10-15 Customer Res Technology Ltd Touch screen survey method and apparatus
US8127236B2 (en) * 2008-09-12 2012-02-28 International Business Machines Corporation Virtual universe subject matter expert assistance
US8260651B2 (en) * 2008-09-15 2012-09-04 Infosys Technologies Limited Method and system for estimating resource factors for executing a project
US8712776B2 (en) 2008-09-29 2014-04-29 Apple Inc. Systems and methods for selective text to speech synthesis
US8676904B2 (en) 2008-10-02 2014-03-18 Apple Inc. Electronic devices with voice command and contextual data processing capabilities
US8909759B2 (en) * 2008-10-10 2014-12-09 Seven Networks, Inc. Bandwidth measurement
US8700614B1 (en) 2008-10-14 2014-04-15 Elance, Inc. Method of and a system for ranking members within a services exchange medium
US8380709B1 (en) 2008-10-14 2013-02-19 Elance, Inc. Method and system for ranking users
US8156453B1 (en) 2008-10-16 2012-04-10 Cadence Design Systems, Inc. Method and system identifying and locating IP blocks and block suppliers for an electronic design
US20100114937A1 (en) * 2008-10-17 2010-05-06 Louis Hawthorne System and method for content customization based on user's psycho-spiritual map of profile
US20100100827A1 (en) * 2008-10-17 2010-04-22 Louis Hawthorne System and method for managing wisdom solicited from user community
US20100100826A1 (en) * 2008-10-17 2010-04-22 Louis Hawthorne System and method for content customization based on user profile
US20110113041A1 (en) * 2008-10-17 2011-05-12 Louis Hawthorne System and method for content identification and customization based on weighted recommendation scores
US20100107075A1 (en) * 2008-10-17 2010-04-29 Louis Hawthorne System and method for content customization based on emotional state of the user
US20100106668A1 (en) * 2008-10-17 2010-04-29 Louis Hawthorne System and method for providing community wisdom based on user profile
US20100100542A1 (en) * 2008-10-17 2010-04-22 Louis Hawthorne System and method for rule-based content customization for user presentation
US20100205024A1 (en) * 2008-10-29 2010-08-12 Haggai Shachar System and method for applying in-depth data mining tools for participating websites
US8438070B2 (en) * 2008-11-10 2013-05-07 Sears Brands, L.L.C. Exchanging value between a service buyer and a service provider
US8583563B1 (en) 2008-12-23 2013-11-12 Match.Com, L.L.C. System and method for providing enhanced matching based on personality analysis
US8862252B2 (en) 2009-01-30 2014-10-14 Apple Inc. Audio user interface for displayless electronic device
US20100198869A1 (en) * 2009-02-02 2010-08-05 Yahoo! Inc. System and method for communal search
WO2010098745A9 (en) * 2009-02-24 2012-07-05 Beyond Broadband Technology, Llc Cable television secure communication system for one way restricted access
US9262403B2 (en) 2009-03-02 2016-02-16 Sdl Plc Dynamic generation of auto-suggest dictionary for natural language translation
GB0903418D0 (en) 2009-03-02 2009-04-08 Sdl Plc Computer assisted natural language translation
US20100306024A1 (en) * 2009-05-29 2010-12-02 Vision Critical Communications Inc. System and method of providing an online survey and summarizing survey response data
US7657464B1 (en) 2009-06-04 2010-02-02 Yung Yeung System and methods of conducting business-to-business operations by registered sellers and buyers using an internet accessible platform
US20100312687A1 (en) * 2009-06-04 2010-12-09 Hybrid Kinetic Motors Corporation Method and System for Facilitating International Investment with Respect to Immigration
US7716087B1 (en) 2009-06-04 2010-05-11 Yung Yeung Methods and system of conducting business-to-business operations by registered sellers and buyers using an internet accessible platform
US9858925B2 (en) 2009-06-05 2018-01-02 Apple Inc. Using context information to facilitate processing of commands in a virtual assistant
US20110029365A1 (en) * 2009-07-28 2011-02-03 Beezag Inc. Targeting Multimedia Content Based On Authenticity Of Marketing Data
US9608826B2 (en) 2009-06-29 2017-03-28 Jpmorgan Chase Bank, N.A. System and method for partner key management
US9431006B2 (en) 2009-07-02 2016-08-30 Apple Inc. Methods and apparatuses for automatic speech recognition
US20110016102A1 (en) * 2009-07-20 2011-01-20 Louis Hawthorne System and method for identifying and providing user-specific psychoactive content
CA2770843A1 (en) * 2009-08-12 2011-02-17 Volt Information Sciences, Inc. System and method for productizing human capital labor employment positions/jobs
US20110212430A1 (en) * 2009-09-02 2011-09-01 Smithmier Donald E Teaching and learning system
US8458010B1 (en) 2009-10-13 2013-06-04 Amazon Technologies, Inc. Monitoring and enforcing price parity
FI20096093A (en) * 2009-10-22 2011-04-23 Happyornot Oy satisfaction indicator
US8332232B2 (en) * 2009-11-05 2012-12-11 Opinionlab, Inc. System and method for mobile interaction
US8682649B2 (en) 2009-11-12 2014-03-25 Apple Inc. Sentiment prediction from textual data
US20110141277A1 (en) * 2009-12-16 2011-06-16 James Midkiff System and method for providing a virtual community watch
US8386381B1 (en) 2009-12-16 2013-02-26 Jpmorgan Chase Bank, N.A. Method and system for detecting, monitoring and addressing data compromises
US20110153518A1 (en) * 2009-12-17 2011-06-23 American Express Travel Related Services Company, Inc. System and method for enabling product development
US20110153851A1 (en) * 2009-12-17 2011-06-23 American Express Travel Related Services Company, Inc. System and method for adjusting intake based on intellectual property asset data
US8977761B2 (en) 2009-12-17 2015-03-10 American Express Travel Related Services Company, Inc. System and method for enabling product development
US8886560B2 (en) 2009-12-17 2014-11-11 American Express Travel Related Services Company, Inc. System and method for enabling channel agreements negotiations in an IP marketplace
US9037733B2 (en) * 2009-12-17 2015-05-19 American Express Travel Related Services Company, Inc. System and method for enabling product development
US20110154197A1 (en) * 2009-12-18 2011-06-23 Louis Hawthorne System and method for algorithmic movie generation based on audio/video synchronization
EP2336963A1 (en) * 2009-12-21 2011-06-22 Cyrill Osterwalder Method and Web platform for brokering know-how
US8381107B2 (en) 2010-01-13 2013-02-19 Apple Inc. Adaptive audio feedback system and method
US9318108B2 (en) 2010-01-18 2016-04-19 Apple Inc. Intelligent automated assistant
DE112011100329T5 (en) 2010-01-25 2012-10-31 Andrew Peter Nelson Jerram Devices, methods and systems for digital conversation management platform
US9842312B1 (en) 2010-02-19 2017-12-12 Upwork Global Inc. Digital workroom
US8682667B2 (en) 2010-02-25 2014-03-25 Apple Inc. User profiling for selecting user specific voice input processing information
US9489697B1 (en) 2010-03-17 2016-11-08 Microroyalties, LLC Systems and methods of determining microroyalties
US9043731B2 (en) 2010-03-30 2015-05-26 Seven Networks, Inc. 3D mobile user interface with configurable workspace management
US9767212B2 (en) 2010-04-07 2017-09-19 Liveperson, Inc. System and method for dynamically enabling customized web content and applications
US8401893B1 (en) * 2010-04-21 2013-03-19 The Pnc Financial Services Group, Inc. Assessment construction tool
US8374899B1 (en) 2010-04-21 2013-02-12 The Pnc Financial Services Group, Inc. Assessment construction tool
US8972551B1 (en) * 2010-04-27 2015-03-03 Amazon Technologies, Inc. Prioritizing service requests
WO2011140626A1 (en) * 2010-05-14 2011-11-17 Gestion Ultra Internationale Inc. Product positioning as a function of consumer needs
US8817969B1 (en) 2010-06-25 2014-08-26 Amazon Technologies, Inc. Systems and methods for query input via telephony devices
US8554631B1 (en) 2010-07-02 2013-10-08 Jpmorgan Chase Bank, N.A. Method and system for determining point of sale authorization
US8713021B2 (en) 2010-07-07 2014-04-29 Apple Inc. Unsupervised document clustering using latent semantic density analysis
US9077630B2 (en) 2010-07-26 2015-07-07 Seven Networks, Inc. Distributed implementation of dynamic wireless traffic policy
WO2012018556A3 (en) 2010-07-26 2012-08-09 Michael Luna Mobile application traffic optimization
US8838783B2 (en) 2010-07-26 2014-09-16 Seven Networks, Inc. Distributed caching for resource and mobile network traffic management
US9043433B2 (en) 2010-07-26 2015-05-26 Seven Networks, Inc. Mobile network traffic coordination across multiple applications
US8335709B2 (en) * 2010-08-31 2012-12-18 Long Range Systems, Llc Customer survey device with fraud prevention system
JP2012064995A (en) * 2010-09-14 2012-03-29 Hitachi Ltd Cryptographic device management method, cryptographic device management server, program, and storage medium
US9294623B2 (en) 2010-09-16 2016-03-22 SurveyMonkey.com, LLC Systems and methods for self-service automated dial-out and call-in surveys
US8719014B2 (en) 2010-09-27 2014-05-06 Apple Inc. Electronic device with text error correction based on voice recognition data
GB201307556D0 (en) 2010-11-01 2013-06-12 Seven Networks Inc Caching adapted for mobile application behavior and network conditions
WO2012060997A3 (en) 2010-11-01 2012-07-19 Michael Luna Application and network-based long poll request detection and cacheability assessment therefor
US9330196B2 (en) 2010-11-01 2016-05-03 Seven Networks, Llc Wireless traffic management system cache optimization using http headers
WO2012060995A3 (en) 2010-11-01 2012-07-12 Michael Luna Distributed caching in a wireless network of content delivered for a mobile application over a long-held request
US8484314B2 (en) 2010-11-01 2013-07-09 Seven Networks, Inc. Distributed caching in a wireless network of content delivered for a mobile application over a long-held request
WO2012061437A1 (en) 2010-11-01 2012-05-10 Michael Luna Cache defeat detection and caching of content addressed by identifiers intended to defeat cache
WO2012061430A3 (en) 2010-11-01 2012-06-28 Michael Luna Distributed management of keep-alive message signaling for mobile network resource conservation and optimization
US9060032B2 (en) 2010-11-01 2015-06-16 Seven Networks, Inc. Selective data compression by a distributed traffic management system to reduce mobile data traffic and signaling traffic
US8843153B2 (en) 2010-11-01 2014-09-23 Seven Networks, Inc. Mobile traffic categorization and policy for network use optimization while preserving user experience
US20120123850A1 (en) * 2010-11-11 2012-05-17 Haison Technology Inc. System and method for actively ranking and filtering information
WO2012071283A1 (en) 2010-11-22 2012-05-31 Michael Luna Aligning data transfer to optimize connections established for transmission over a wireless network
GB201309234D0 (en) 2010-11-22 2013-07-03 Seven Networks Inc Optimization of resource polling internvals to satisfy mobile device requests
US20130252223A1 (en) * 2010-11-23 2013-09-26 Srikanth Jadcherla System and method for inculcating explorative and experimental learning skills at geographically apart locations
US20120136527A1 (en) * 2010-11-30 2012-05-31 Zonar Systems, Inc. System and method for obtaining competitive pricing for vehicle services
US9350598B2 (en) 2010-12-14 2016-05-24 Liveperson, Inc. Authentication of service requests using a communications initiation feature
US8918465B2 (en) 2010-12-14 2014-12-23 Liveperson, Inc. Authentication of service requests initiated from a social networking site
US9158775B1 (en) 2010-12-18 2015-10-13 Google Inc. Scoring stream items in real time
US8938534B2 (en) 2010-12-30 2015-01-20 Ss8 Networks, Inc. Automatic provisioning of new users of interest for capture on a communication network
US9058323B2 (en) 2010-12-30 2015-06-16 Ss8 Networks, Inc. System for accessing a set of communication and transaction data associated with a user of interest sourced from multiple different network carriers and for enabling multiple analysts to independently and confidentially access the set of communication and transaction data
GB201311949D0 (en) 2011-01-07 2013-08-14 Seven Networks Inc System and method for reduction of mobile network traffic used for domain name system (DNS) queries
US20120202183A1 (en) * 2011-02-07 2012-08-09 David Meagor Controlled Release Survey and Methods Thereof
US8600894B2 (en) 2011-03-04 2013-12-03 Mark S. Fawer Three-stage, double blind credit rating of securities
US9208132B2 (en) 2011-03-08 2015-12-08 The Nielsen Company (Us), Llc System and method for concept development with content aware text editor
US9262776B2 (en) 2011-03-08 2016-02-16 The Nielsen Company (Us), Llc System and method for concept development
US9262612B2 (en) 2011-03-21 2016-02-16 Apple Inc. Device access using voice authentication
US8972612B2 (en) 2011-04-05 2015-03-03 SSB Networks, Inc. Collecting asymmetric data and proxy data on a communication network
EP2700019A4 (en) 2011-04-19 2015-01-28 Seven Networks Inc Social caching for device resource sharing and management
US8832228B2 (en) 2011-04-27 2014-09-09 Seven Networks, Inc. System and method for making requests on behalf of a mobile device based on atomic processes for mobile network traffic relief
WO2012149434A3 (en) 2011-04-27 2013-01-24 Seven Networks, Inc. Detecting and preserving state for satisfying application requests in a distributed proxy and cache system
US9767436B2 (en) 2011-05-03 2017-09-19 Oracle International Corporation System for managing formal mentoring programs
US8606742B1 (en) 2011-05-13 2013-12-10 Google Inc. User behavior based contact decisions
US8712944B1 (en) * 2011-05-13 2014-04-29 Google Inc. Adaptive contact window wherein the probability that an answering user/expert will respond to a question corresponds to the answering users having response rates that are based on the time of day
US8712943B1 (en) 2011-05-13 2014-04-29 Google Inc. Question and answer system wherein experts are associated with models and have response rates that are associated with time intervals
US8473319B2 (en) 2011-05-24 2013-06-25 Oracle International Corporation System for providing goal-triggered feedback
JP5073846B1 (en) * 2011-05-30 2012-11-14 楽天株式会社 Question answer processing apparatus, answer questions processing method, question answer processing program and a recording medium
US9424536B2 (en) 2011-05-31 2016-08-23 Oracle International Corporation System for business portfolio modeling and analysis
US9002958B2 (en) 2011-05-31 2015-04-07 Oracle International Corporation Performance management system using unsolicited feedback
US20120324143A1 (en) 2011-06-15 2012-12-20 Data Design Corporation Methods and apparatus for data access by a reprogrammable circuit module
US9417894B1 (en) 2011-06-15 2016-08-16 Ryft Systems, Inc. Methods and apparatus for a tablet computer system incorporating a reprogrammable circuit module
WO2012174659A1 (en) * 2011-06-20 2012-12-27 Novx Systems Canada Inc. System and method for dynamic and customized questionnaire generation
US8812294B2 (en) 2011-06-21 2014-08-19 Apple Inc. Translating phrases from one language into another using an order-based set of declarative rules
US8961315B1 (en) 2011-06-28 2015-02-24 Amazon Technologies, Inc. Providing tasks to users during electronic game play
US8645300B1 (en) * 2011-07-20 2014-02-04 Usability Sciences Corporation System and method for intent data processing
US9239800B2 (en) 2011-07-27 2016-01-19 Seven Networks, Llc Automatic generation and distribution of policy information regarding malicious mobile traffic in a wireless network
US8706472B2 (en) 2011-08-11 2014-04-22 Apple Inc. Method for disambiguating multiple readings in language conversion
US8994660B2 (en) 2011-08-29 2015-03-31 Apple Inc. Text correction processing
US8762156B2 (en) 2011-09-28 2014-06-24 Apple Inc. Speech recognition repair using contextual information
US8782684B2 (en) * 2011-11-08 2014-07-15 Agency For Science, Technology And Research Method and device for collecting audience information
US20130138463A1 (en) * 2011-11-30 2013-05-30 Feridoon Amini Scheduling workers
US8868753B2 (en) 2011-12-06 2014-10-21 Seven Networks, Inc. System of redundantly clustered machines to provide failover mechanisms for mobile traffic management and network resource conservation
US8934414B2 (en) 2011-12-06 2015-01-13 Seven Networks, Inc. Cellular or WiFi mobile traffic optimization based on public or private network destination
GB2498064A (en) 2011-12-07 2013-07-03 Seven Networks Inc Distributed content caching mechanism using a network operator proxy
US9277443B2 (en) 2011-12-07 2016-03-01 Seven Networks, Llc Radio-awareness of mobile device for sending server-side control signals using a wireless network optimized transport protocol
US20130159511A1 (en) 2011-12-14 2013-06-20 Seven Networks, Inc. System and method for generating a report to a network operator by distributing aggregation of data
WO2013090821A1 (en) 2011-12-14 2013-06-20 Seven Networks, Inc. Hierarchies and categories for management and deployment of policies for distributed wireless traffic optimization
WO2013090834A1 (en) 2011-12-14 2013-06-20 Seven Networks, Inc. Operation modes for mobile traffic optimization and concurrent management of optimized and non-optimized traffic
EP2801236A4 (en) 2012-01-05 2015-10-21 Seven Networks Inc Detection and management of user interactions with foreground applications on a mobile device in distributed caching
US9311383B1 (en) 2012-01-13 2016-04-12 The Nielsen Company (Us), Llc Optimal solution identification system and method
WO2013116856A1 (en) 2012-02-02 2013-08-08 Seven Networks, Inc. Dynamic categorization of applications for network access in a mobile network
WO2013116852A1 (en) 2012-02-03 2013-08-08 Seven Networks, Inc. User as an end point for profiling and optimizing the delivery of content and data in a wireless network
US8943002B2 (en) 2012-02-10 2015-01-27 Liveperson, Inc. Analytics driven engagement
US9483461B2 (en) 2012-03-06 2016-11-01 Apple Inc. Handling speech synthesis of content for multiple languages
US8805941B2 (en) 2012-03-06 2014-08-12 Liveperson, Inc. Occasionally-connected computing interface
US8819789B2 (en) 2012-03-07 2014-08-26 Bill.Com, Inc. Method and system for using social networks to verify entity affiliations and identities
US8812695B2 (en) 2012-04-09 2014-08-19 Seven Networks, Inc. Method and system for management of a virtual network connection without heartbeat messages
US9092749B2 (en) * 2012-04-13 2015-07-28 International Business Machines Corporation Information governance crowd sourcing
US9563336B2 (en) 2012-04-26 2017-02-07 Liveperson, Inc. Dynamic user interface customization
US9280610B2 (en) 2012-05-14 2016-03-08 Apple Inc. Crowd sourcing information to fulfill user requests
US9672196B2 (en) 2012-05-15 2017-06-06 Liveperson, Inc. Methods and systems for presenting specialized content using campaign metrics
US8775442B2 (en) 2012-05-15 2014-07-08 Apple Inc. Semantic search using a single-source semantic model
US9721563B2 (en) 2012-06-08 2017-08-01 Apple Inc. Name recognition system
US9495129B2 (en) 2012-06-29 2016-11-15 Apple Inc. Device, method, and user interface for voice-activated navigation and browsing of a document
US8775631B2 (en) 2012-07-13 2014-07-08 Seven Networks, Inc. Dynamic bandwidth adjustment for browsing or streaming activity in a wireless network based on prediction of user behavior when interacting with mobile applications
US9436799B2 (en) 2012-07-30 2016-09-06 General Electric Company Systems and methods for remote image reconstruction
US8990956B2 (en) * 2012-08-06 2015-03-24 Hurricane Electric Systems and methods of exchanging information for a reward
US9576574B2 (en) 2012-09-10 2017-02-21 Apple Inc. Context-sensitive handling of interruptions by intelligent digital assistant
US9547647B2 (en) 2012-09-19 2017-01-17 Apple Inc. Voice-based media searching
WO2014059426A3 (en) * 2012-10-12 2014-06-26 Mobilaps, Llc Social media management system
US9161258B2 (en) 2012-10-24 2015-10-13 Seven Networks, Llc Optimized and selective management of policy deployment to mobile clients in a congested network to prevent further aggravation of network congestion
US9307493B2 (en) 2012-12-20 2016-04-05 Seven Networks, Llc Systems and methods for application management of mobile device radio state promotion and demotion
US9390195B2 (en) 2013-01-02 2016-07-12 Research Now Group, Inc. Using a graph database to match entities by evaluating boolean expressions
US9241314B2 (en) 2013-01-23 2016-01-19 Seven Networks, Llc Mobile device with application or context aware fast dormancy
US8874761B2 (en) 2013-01-25 2014-10-28 Seven Networks, Inc. Signaling optimization in a wireless network for traffic utilizing proprietary and non-proprietary protocols
US20140244520A1 (en) * 2013-02-28 2014-08-28 IdeaConnection Ltd Method of managing a crowdsource scouting system
US8750123B1 (en) 2013-03-11 2014-06-10 Seven Networks, Inc. Mobile device equipped with mobile network congestion recognition to make intelligent decisions regarding connecting to an operator network
US9368114B2 (en) 2013-03-14 2016-06-14 Apple Inc. Context-sensitive handling of interruptions
US9799041B2 (en) 2013-03-15 2017-10-24 The Nielsen Company (Us), Llc Method and apparatus for interactive evolutionary optimization of concepts
WO2014144579A1 (en) 2013-03-15 2014-09-18 Apple Inc. System and method for updating an adaptive speech recognition model
US9117180B1 (en) 2013-03-15 2015-08-25 Elance, Inc. Matching method based on a machine learning algorithm and a system thereof
US9419957B1 (en) 2013-03-15 2016-08-16 Jpmorgan Chase Bank, N.A. Confidence-based authentication
US9785995B2 (en) 2013-03-15 2017-10-10 The Nielsen Company (Us), Llc Method and apparatus for interactive evolutionary algorithms with respondent directed breeding
US20140298200A1 (en) * 2013-03-29 2014-10-02 Google Inc. Providing user interface elements for interactive sessions
US20140317533A1 (en) * 2013-04-22 2014-10-23 Aspasia – Holding Tricolore Di Partecipazione E Sviluppo S.P.A. Information technology tool for exchange of questions and responses
US9582608B2 (en) 2013-06-07 2017-02-28 Apple Inc. Unified ranking with entropy-weighted information for phrase-based semantic auto-completion
WO2014197334A3 (en) 2013-06-07 2015-01-29 Apple Inc. System and method for user-specified pronunciation of words for speech synthesis and recognition
WO2014197336A1 (en) 2013-06-07 2014-12-11 Apple Inc. System and method for detecting errors in interactions with a voice-based digital assistant
JP2016521948A (en) 2013-06-13 2016-07-25 アップル インコーポレイテッド System and method for emergency call initiated by voice command
US9065765B2 (en) 2013-07-22 2015-06-23 Seven Networks, Inc. Proxy server associated with a mobile carrier for enhancing mobile traffic management in a mobile network
US20150112766A1 (en) * 2013-10-22 2015-04-23 Leaderamp, Inc. Method and Apparatus for Rapid Metrological Calibration, Intervention Assignment, Evaluation, Forecasting and Reinforcement
US20150256677A1 (en) * 2014-03-07 2015-09-10 Genesys Telecommunications Laboratories, Inc. Conversation assistant
US9830593B2 (en) 2014-04-26 2017-11-28 Ss8 Networks, Inc. Cryptographic currency user directory data and enhanced peer-verification ledger synthesis through multi-modal cryptographic key-address mapping
US9185222B1 (en) * 2014-04-30 2015-11-10 Avaya Inc. Identifying escalation events in communication sessions
JP2015215853A (en) * 2014-05-13 2015-12-03 株式会社リコー System, image processor, image processing method and program
US9620105B2 (en) 2014-05-15 2017-04-11 Apple Inc. Analyzing audio input for efficient speech and music recognition
US9502031B2 (en) 2014-05-27 2016-11-22 Apple Inc. Method for supporting dynamic grammars in WFST-based ASR
US9785630B2 (en) 2014-05-30 2017-10-10 Apple Inc. Text prediction using combined word N-gram and unigram language models
US9715875B2 (en) 2014-05-30 2017-07-25 Apple Inc. Reducing the need for manual start/end-pointing and trigger phrases
US9842101B2 (en) 2014-05-30 2017-12-12 Apple Inc. Predictive conversion of language input
US9430463B2 (en) 2014-05-30 2016-08-30 Apple Inc. Exemplar-based natural language processing
US9734193B2 (en) 2014-05-30 2017-08-15 Apple Inc. Determining domain salience ranking from ambiguous words in natural speech
US9633004B2 (en) 2014-05-30 2017-04-25 Apple Inc. Better resolution when referencing to concepts
US9760559B2 (en) 2014-05-30 2017-09-12 Apple Inc. Predictive text input
US9338493B2 (en) 2014-06-30 2016-05-10 Apple Inc. Intelligent automated assistant for TV user interactions
US9282430B1 (en) 2014-07-30 2016-03-08 Allstate Insurance Company Roadside assistance service provider assignment system
US9818400B2 (en) 2014-09-11 2017-11-14 Apple Inc. Method and apparatus for discovering trending terms in speech requests
WO2016040691A1 (en) * 2014-09-12 2016-03-17 Prolifiq Software Inc. Facilitated selected specialist communication
US9646609B2 (en) 2014-09-30 2017-05-09 Apple Inc. Caching apparatus for serving phonetic pronunciations
US9668121B2 (en) 2014-09-30 2017-05-30 Apple Inc. Social reminders
US20160104177A1 (en) * 2014-10-14 2016-04-14 Brandlogic Corporation Administering and conducting surveys, and devices therefor
US20160122224A1 (en) 2014-11-03 2016-05-05 Ppg Industries Ohio, Inc. Automated float glass system
US9711141B2 (en) 2014-12-09 2017-07-18 Apple Inc. Disambiguating heteronyms in speech synthesis
US9865280B2 (en) 2015-03-06 2018-01-09 Apple Inc. Structured dictation using intelligent automated assistants
US9721566B2 (en) 2015-03-08 2017-08-01 Apple Inc. Competing devices responding to voice triggers
US9842105B2 (en) 2015-04-16 2017-12-12 Apple Inc. Parsimonious continuous-space phrase representations for natural language processing
US9697820B2 (en) 2015-09-24 2017-07-04 Apple Inc. Unit-selection text-to-speech synthesis using concatenation-sensitive neural networks

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5428608A (en) * 1993-12-30 1995-06-27 At&T Corp. Call connection technique
US5542024A (en) * 1992-07-09 1996-07-30 Johnson & Johnson Graphically used expert system tool background of the invention
US5754938A (en) * 1994-11-29 1998-05-19 Herz; Frederick S. M. Pseudonymous server for system for customized electronic identification of desirable objects
US5802493A (en) * 1994-12-07 1998-09-01 Aetna Life Insurance Company Method and apparatus for generating a proposal response
US5948054A (en) * 1996-02-27 1999-09-07 Sun Microsystems, Inc. Method and system for facilitating the exchange of information between human users in a networked computer system

Family Cites Families (89)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4017101A (en) * 1976-05-20 1977-04-12 Case John M Letter of credit device
US4147571A (en) 1977-07-11 1979-04-03 Hewlett-Packard Company Method for vapor epitaxial deposition of III/V materials utilizing organometallic compounds and a halogen or halide in a hot wall system
US4816904A (en) * 1983-06-09 1989-03-28 Control Data Corporation Television and market research data collection system and method
US4566030A (en) * 1983-06-09 1986-01-21 Ctba Associates Television viewer data collection system
US4903201A (en) * 1983-11-03 1990-02-20 World Energy Exchange Corporation Automated futures trading exchange
KR920004171B1 (en) 1984-07-11 1992-05-30 미다 가쓰시게 Dry etching apparatus
US4576579A (en) * 1984-07-23 1986-03-18 Harte J Richard Instructional and testing apparatus with switch closure at two different depths
US4845739A (en) 1985-07-10 1989-07-04 Fdr Interactive Technologies Telephonic-interface statistical analysis system
US4798166A (en) 1985-12-20 1989-01-17 Canon Kabushiki Kaisha Apparatus for continuously preparing a light receiving element for use in photoelectromotive force member or image-reading photosensor
JPH0743748B2 (en) * 1986-02-17 1995-05-15 株式会社オークネット Information transmission processing method of auction information transmission processing system
US6443840B2 (en) * 1986-03-10 2002-09-03 Response Reward Systems, L.C. Evaluation of responses of participatory broadcast audience with prediction of winning contestants; monitoring, checking and controlling of wagering, and automatic crediting and couponing
US4789929A (en) 1987-05-14 1988-12-06 Hitachi Medical Corporation CT system for spirally scanning subject on a movable bed synchronized to X-ray tube revolution
US4884218A (en) * 1987-10-01 1989-11-28 International Business Machines Corporation Knowledge system with improved request processing
US4996642A (en) * 1987-10-01 1991-02-26 Neonics, Inc. System and method for recommending items
US4980204A (en) 1987-11-27 1990-12-25 Fujitsu Limited Metal organic chemical vapor deposition method with controlled gas flow rate
US5021953A (en) * 1988-01-06 1991-06-04 Travelmation Corporation Trip planner optimizing travel itinerary selection conforming to individualized travel policies
US4868877A (en) * 1988-02-12 1989-09-19 Fischer Addison M Public key/signature cryptosystem with enhanced digital signature certification
US4911101A (en) 1988-07-20 1990-03-27 General Electric Company Metal organic molecular beam epitaxy (MOMBE) apparatus
US4907534A (en) 1988-12-09 1990-03-13 Siemens Aktiengesellschaft Gas distributor for OMVPE Growth
US5119760A (en) 1988-12-27 1992-06-09 Symetrix Corporation Methods and apparatus for material deposition
US5117353A (en) * 1989-05-05 1992-05-26 Staff-Plus, Inc. System for use in a temporary help business
US5164897A (en) * 1989-06-21 1992-11-17 Techpower, Inc. Automated method for selecting personnel matched to job criteria
US5191613A (en) * 1990-11-16 1993-03-02 Graziano James M Knowledge based system for document authentication
US5257185A (en) * 1990-05-21 1993-10-26 Ann W. Farley Interactive, cross-referenced knowledge system
EP0468229A3 (en) * 1990-07-27 1994-01-26 Hnc Inc A neural network with expert system functionality
US5085885A (en) 1990-09-10 1992-02-04 University Of Delaware Plasma-induced, in-situ generation, transport and use or collection of reactive precursors
JP2804403B2 (en) * 1991-05-16 1998-09-24 インターナショナル・ビジネス・マシーンズ・コーポレイション Question Answer System
US5557773A (en) * 1991-06-12 1996-09-17 Wang; Cheh C. Computational automation for global objectives
US5270247A (en) 1991-07-12 1993-12-14 Fujitsu Limited Atomic layer epitaxy of compound semiconductor
US5740035A (en) * 1991-07-23 1998-04-14 Control Data Corporation Self-administered survey systems, methods and devices
US5359509A (en) * 1991-10-31 1994-10-25 United Healthcare Corporation Health care payment adjudication and review system
US5259766A (en) * 1991-12-13 1993-11-09 Educational Testing Service Method and system for interactive computer science testing, anaylsis and feedback
US5307262A (en) * 1992-01-29 1994-04-26 Applied Medical Data, Inc. Patient data quality review method and system
US5961332A (en) * 1992-09-08 1999-10-05 Joao; Raymond Anthony Apparatus for processing psychological data and method of use thereof
US5539869A (en) * 1992-09-28 1996-07-23 Ford Motor Company Method and system for processing and presenting on-line, multimedia information in a tree structure
US5628011A (en) * 1993-01-04 1997-05-06 At&T Network-based intelligent information-sourcing arrangement </