WO2001059625A1 - System for creating and maintaining a database of information utilizing user opinions - Google Patents
System for creating and maintaining a database of information utilizing user opinions Download PDFInfo
- Publication number
- WO2001059625A1 WO2001059625A1 PCT/US2001/004408 US0104408W WO0159625A1 WO 2001059625 A1 WO2001059625 A1 WO 2001059625A1 US 0104408 W US0104408 W US 0104408W WO 0159625 A1 WO0159625 A1 WO 0159625A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- database
- subject
- user
- users
- management
- Prior art date
Links
- 238000000034 method Methods 0.000 claims description 120
- 230000008569 process Effects 0.000 claims description 107
- 238000012552 review Methods 0.000 claims description 59
- 230000009471 action Effects 0.000 claims description 57
- 238000012545 processing Methods 0.000 claims description 33
- 230000004044 response Effects 0.000 claims description 19
- 238000012217 deletion Methods 0.000 claims description 15
- 230000037430 deletion Effects 0.000 claims description 15
- 238000012797 qualification Methods 0.000 claims description 15
- 238000003860 storage Methods 0.000 claims description 15
- 230000008520 organization Effects 0.000 claims description 12
- 230000002596 correlated effect Effects 0.000 claims description 10
- 230000002708 enhancing effect Effects 0.000 claims description 9
- 238000012423 maintenance Methods 0.000 claims description 8
- 230000004931 aggregating effect Effects 0.000 claims description 5
- 230000032683 aging Effects 0.000 claims description 5
- 239000000463 material Substances 0.000 claims description 5
- 230000015556 catabolic process Effects 0.000 claims description 4
- 239000003607 modifier Substances 0.000 claims description 2
- 230000000694 effects Effects 0.000 description 57
- 230000006872 improvement Effects 0.000 description 22
- 230000008859 change Effects 0.000 description 21
- 238000010411 cooking Methods 0.000 description 19
- 230000006870 function Effects 0.000 description 16
- 235000015255 meat loaf Nutrition 0.000 description 13
- 238000010586 diagram Methods 0.000 description 12
- 235000013549 apple pie Nutrition 0.000 description 7
- 238000010926 purge Methods 0.000 description 6
- 241000233805 Phoenix Species 0.000 description 5
- 230000006399 behavior Effects 0.000 description 5
- 230000008901 benefit Effects 0.000 description 5
- 238000004891 communication Methods 0.000 description 5
- 238000012937 correction Methods 0.000 description 5
- 230000003993 interaction Effects 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 230000002452 interceptive effect Effects 0.000 description 4
- 238000007792 addition Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 3
- 230000002354 daily effect Effects 0.000 description 3
- 230000007423 decrease Effects 0.000 description 3
- 235000021185 dessert Nutrition 0.000 description 3
- 238000011156 evaluation Methods 0.000 description 3
- 238000009877 rendering Methods 0.000 description 3
- 241001502883 Marcia Species 0.000 description 2
- 235000019219 chocolate Nutrition 0.000 description 2
- 235000011850 desserts Nutrition 0.000 description 2
- 230000003203 everyday effect Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000007115 recruitment Effects 0.000 description 2
- 235000014102 seafood Nutrition 0.000 description 2
- 238000001228 spectrum Methods 0.000 description 2
- 235000019640 taste Nutrition 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
- 238000010200 validation analysis Methods 0.000 description 2
- 235000005156 Brassica carinata Nutrition 0.000 description 1
- 244000257790 Brassica carinata Species 0.000 description 1
- 241000282412 Homo Species 0.000 description 1
- 241001626506 Philypnodon Species 0.000 description 1
- 241001153212 Strix occidentalis Species 0.000 description 1
- 230000004308 accommodation Effects 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 238000013475 authorization Methods 0.000 description 1
- 230000003796 beauty Effects 0.000 description 1
- 230000009194 climbing Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 230000001351 cycling effect Effects 0.000 description 1
- 235000019221 dark chocolate Nutrition 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000007935 neutral effect Effects 0.000 description 1
- 238000007493 shaping process Methods 0.000 description 1
- 239000010454 slate Substances 0.000 description 1
- 238000009333 weeding Methods 0.000 description 1
- 230000003442 weekly effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/34—Browsing; Visualisation therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/335—Filtering based on additional data, e.g. user or group profiles
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/38—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
- Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10S707/00—Data processing: database and file management or data structures
- Y10S707/99931—Database or file accessing
- Y10S707/99933—Query processing, i.e. searching
- Y10S707/99935—Query augmenting and refining, e.g. inexact access
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
- Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10S707/00—Data processing: database and file management or data structures
- Y10S707/99941—Database schema or data structure
- Y10S707/99944—Object-oriented database structure
- Y10S707/99945—Object-oriented database structure processing
Definitions
- This invention relates generally to systems for creating, maintaining and using database information. More particularly, it relates to a system for automatically creating and maintaining a database of information utilizing user opinions. Even more particularly, it relates to an Internet system assisting a population of users to automatically maintain the database content and to improve the usefulness and quality of the database information without any substantial management by the website owner- manager .
- Web sites Computers that provide information on the World Wide Web are typically called "Web sites.”
- a Web site is defined by an Internet address that has an associated electronic page, often called a "home page.”
- a home page is an electronic document that organizes the presentation of text, graphical images, audio and video into a desired display.
- These Web sites are operated by a wide variety of entities, which are typically called "providers.”
- a user may access the Internet via a dedicated high-speed line or by using a personal computer (PC) equipped with a conventional modem.
- Special interface software called “browser” software, is installed within the PC.
- an attached modem is automatically instructed to dial the telephone number associated with the local Internet host server. The user can then access information at any address accessible over the Internet.
- Two well-known web browsers for example, are the Netscape Navigator browser marketed by Netscape Communications Corporation and the Internet Explorer browser marketed by Microsoft Corporation.
- HTML HyperText Mark-up Language
- the HTML format is a scripting language that is used to generate the home pages for different content providers .
- a content provider is an individual or company that places information (content) on the Internet so that others can access it.
- the HTML format is a set of conventions for marking different portions of a document so that each portion appears in a distinctive format. For example, the HTML format identifies or "tags" portions of a document to identify different categories of text (e.g., the title, header, body text, etc.).
- the web browser accesses an HTML document, the web browser reads the embedded tags in the document so it appears formatted in the specified manner.
- An HTML document can also include hyperlinks, which allow a user to move from one document to another document on the Internet.
- a hyperlink is an underlined or otherwise emphasized portion of text that, when selected using an input device such as a mouse, activates a software connection module which allows the user to jump between documents or pages (i.e., within the same Web site or to other Web sites) .
- Hyperlinks are well known in the art, and have been sometimes referred to as anchors. The act of selecting the hyperlink is often referred to as "clicking on" the hyperlink.
- Client -Server A model of interaction in a distributed system in which a program at one site sends a request to a program at another site and waits for a response.
- the requesting program is called the "client,” and the program which responds to the request is called the “server.”
- the client is typically a "Web browser” which runs on a user's computer; the program which responds to Web browser requests at a Web site is commonly referred to as a "Web server.”
- DNS Domain Name System
- IIS Internet Information Server
- Internet A collection of interconnected (public and/or private) networks that are linked together by a set of standard protocols to form a distributed network. While this term is intended to refer to what is now commonly known as the Internet, it is also intended to encompass variations which may be made in the future, including changes and additions to existing standard protocols.
- HyperText Markup Language HTML
- HTML HyperText Markup Language
- HTTP HyperText Transport Protocol
- HTTP includes a number of different types of messages that can be sent from the client to the server to request different types of server actions. For example, a "GET" message, which has the format GET, causes the server to return the document or file located at the specified Universal Resource Locator (URL) .
- URL Universal Resource Locator
- Java A general purpose programming language developed by Sun Microsystems . Java has a number of features that make the language well-suited for use on the World Wide Web. Small Java applications are called Java applets and can be downloaded from a Web server and run on a personal computer by a Java-compatible Web browser, such as Netscape Navigator or Microsoft Explorer.
- Java servlet A small Java-based program designed to perform a specific task within a Web server environment. Java servlets are analogous to Java applets except the are designed to only run on the Web server.
- Java Virtual Machine A set of applications that create a run time environment for executing Java code.
- JRun A server-side extension that allows a Web server to execute Java servlets for the processing and display of information.
- JRun is a widely adopted engine for developing and deploying server-side Java applications that use Java Servlets and JavaServer Pages (JSP) .
- JSP JavaServer Pages
- JDBC Java Da tabase Connectivi ty
- JavaSoft JavaSoft, a subsidiary of Sun Microsystems of Mountain View, California.
- JDBC enables Java programs to execute SQL statements, which allows Java programs to interact with any SQL-compliant database. Since many relational database management systems (DBMSs) support SQL, and because Java itself runs on most platforms, JDBC makes it possible to write a single database application that can run on different platforms and interact with different database management systems.
- DBC is similar to ODBC but is designed specifically for Java programs, whereas ODBC is language-independent .
- ODBC Open DataBase Connectivi ty
- DBMS database management system
- Transmission Control Protocol /Internet Protocol (TCP/IP) .
- TCP/IP Transmission Control Protocol /Internet Protocol
- a standard Internet protocol or set of protocols which specifies how two computers exchange data over the Internet .
- TCP/IP handles issues such as packetization, packet addressing, handshaking and error correction.
- TCP/IP see Volumes I, II and III of Comer and Stevens, Internetworking with TCP/IP, Prentice Hall, Inc., ISBNs 0-13-468505-9 (vol. I), 0-13-125527-4 (vol. II), and 0-13-474222-2 (vol. III).
- URL Uniform Resource Locator
- protocol protocol: //machine address :port/path/filename.
- the port specification is optional, and if none is entered by the user, the Web browser defaults to the standard port for whatever service is specified as the protocol. For example, if HTTP is specified as the protocol, the Web browser will use the HTTP default port .
- the machine address in this example is the domain name for the computer or device on which the file is located.
- World Wide Web Used herein to refer generally to both (1) a distributed collection of interlinked, user-viewable hypertext documents (commonly referred to as "Web documents", “Web pages”, “electronic pages” or “home pages”) that are accessible via the Internet, and (2) the client and server software components that provide user access to such documents using standardized Internet protocols.
- Web documents commonly referred to as "Web documents", “Web pages”, “electronic pages” or “home pages”
- HTML HyperText Markup Language
- HTML HyperText Markup Language
- World Wide Web and “Web” are intended to encompass future markup languages and transport protocols which may be used in place of or in addition to the HyperText Markup Language and the HyperText Transfer Protocol . More Specific Background
- the search logic is either hierarchical, based on predefined classifications, such as geography, or text based using a search-for ambiguous words or phrases contained in the subject's title or description. Users' opinions and ratings are normally not finely detailed nor measurable and are separate and unrelated and are not included in the search processes offered to users. Therefore a user is unable to search for a subject based entirely or partially on the users' opinions or ratings.
- On-line information systems also present shortcomings for the system operators and managers . Specifically, they require a high degree of human intervention to maintain.
- On-line information service providers permit users to comment on and rate subjects within their site and routinely remove those that are out of date or inappropriate either manually or by automated means based on the age of the comment or rating.
- the current methods lack precision because of the ambiguous nature of the ratings and comments. The ambiguity requires a high level of human intervention if the information is to remain current and appropriate .
- On-line information service providers use groups or "populations" or “communities” of contributors, i.e., a population of users, to input and maintain the subject content of the database. These communities may be organized geographically or by subject matter expertise. These communities require significant effort and human intervention to manage. On-line information service providers accept content from users and contributors with little or no review before it is posted. Reviews done by humans are usually completed by a limited group who are subject matter experts or geographically close to the submitter. Substantial effort is required to manage this process.
- prior on-line information systems include incentive systems that have drawbacks.
- On-line information service providers provide incentives in a variety of forms to encourage contributors to input and maintain subject content. Incentives may also be offered to users of the service.
- On-line information service providers also employ automated processes to capture, summarize and report the accumulated incentives. The granting of the incentives is based on completion of a limited number of actions that have limited influence on contributors' behavior. There is no limit on the total amount the information service provider is obligated to pay.
- Each contributor's incentive value is calculated using a rate per action which makes it difficult to increase the value because it increases the total potential obligation and, conversely, lowering the rate per action will be a major disincentive to contributors.
- prior on-line information service providers offer no or limited incentives for users to provide new information, ratings or opinions to the database. Conversely, users' access is not restricted to the information unless it is a fee-based subscription site. Users' behavior is little influenced by the incentives except when attempting to "game” the system and gain unfair or improper rewards .
- a database of subjects e.g., a product, a service, a leisure activity, an experience or a topic
- Yet another object and feature of the invention is to enable people worldwide, with diverse backgrounds, educational levels and qualifications to contribute content to the database, and to express opinions or reviews in the form of ratings of database subjects, all in a way that improves the usefulness and quality of the information being added or rated. It is still another object and feature of the invention to reduce the need for centralized control and management of the database content and the contributor community by leveraging the talents, skills, and efforts of the user community to maintain the quality of the database content and the performance of the contributors. It is another object and feature of the present invention to provide a system for recruiting communities of people to create, maintain and provide opinions using Web sites focused on a variety of consumer decision support categories such as leisure experiences, public opinions, products and services.
- Yet another object and feature of the invention is to attract users and develop user loyalty, through personal involvement and content contribution, by way of the use of a personal journal and participation in the rewards of the success of the web site. It is another object and feature of the present invention to provide a system to compensate contributors and guests for their efforts in a manner that will ensure a dynamic, comprehensive and accurate database of information for use by guests to the Web sites. It is still another object and feature of the present invention to provide a method and system that motivates guests and contributors to perform highly specific actions that will further the business objectives of the manager of the database .
- this invention provides a system for creating and maintaining information in a database of subjects, available to a population of users, comprising: describing a database subject using a plurality of natural-language terms, each of such plurality of natural-language terms having relevance to the subject according to an involved subset of such population of users; rating the degree of relevance of each of such plurality of natural-language terms to such database subject according to each of such involved subset of such population of users; associating, in such database, such respective natural-language terms and respective degrees of relevance with each such database subject; and computing, for such involved subset of such population of users, in such database, an overall degree of relevance of each of such plurality of natural-language terms to such database subject.
- Such a system further comprising: associating with a particular user a set of particular-user- preferred such natural-language terms from such plurality of natural-language terms; using such particular user's preferred such set of particular-user-preferred such natural- language terms, searching such database for database subjects associated with such set of particular-user-preferred such natural-language terms; determining a set of relevant such database subjects as are correlated with a high aggregate degree of relevance among such respective overall degrees of relevance of such set of respective particular-user-preferred such natural-language terms; and presenting to such particular user information about such relevant database subjects.
- this invention provides such a system further comprising: presenting to a particular user information about a particular such database subject and such associated respective relevant natural-language terms with such respective overall degrees of relevance; collecting, from such particular user, such particular user's opinions about respective degrees of relevance to such particular database subject of such respective presented natural-language terms; adding such particular user to such involved subset of such population of users and adding such particular user's opinions to such database; and updating, in association with such particular database subject, in such database, such overall degree of relevance of each of such plurality of natural-language terms associated with such particular database subject.
- Such a system further comprising: presenting to a particular user information about a particular such database subject and such associated respective relevant natural-language terms with such respective overall degrees of relevance; collecting, from such particular user, such particular user's opinions about respective degrees of relevance to such particular database subject of such respective presented natural-language terms; adding such particular user to such involved subset of such population of users and adding such particular user's opinions to such database; and updating, in association with such particular database subject, in such database, such overall degree of relevance of each of such plurality of natural-language terms associated with such particular database subject.
- Such a system further comprising: providing a software management system to directly manage such database and such population of users essentially without outside management; and providing for variables in such software management system to be configurable without affecting such direct management operations; wherein such software management system comprises: soliciting of sufficient information from such users for automatic role qualification enhancing software selection and maintenance of a management sub-community; measuring management efforts of each of such management sub- community,- queing of qualified users for a next opening in such management sub-community; setting of goals for each of such management community; and managing a reward system to reward management efforts of each of such management sub- community.
- this invention provides such a system further comprising: collecting, from each user of such involved subset of such population of users, information about such user's knowledge of and experience with such database subject; assessing, based at least in part upon such information, a relative weight to be given to such user's opinions about such database subject; and for the purposes of computing, for such involved subset of such population of users, in such database, an overall degree of relevance of each of such plurality of natural-language terms to such database subject, applying a respective such relative weight for each respective such user's such rating of such degree of relevance in such manner that a more- knowledgable such user's such rating counts for more in such "overall” computing than does a less-knowledgable such user's such rating.
- Such a system further comprising: determining first such user's role as member or contributor; assigning a multiplier-value based on such first determining; determining second whether such user has personally experienced the subject; assigning a multiplier- value based on such second determining; determining third such user's self-reported qualification to judge such subject; assigning a multiplier-value based on such third determining; determining fourth other users' overall ratings of subjects added by such user; assigning a multiplier-value based on such fourth determining; determining fifth other users' degree of agreements with comments added by such user; assigning a multiplier-value based on such fourth determining; and multiplying together all such multiplier- values to determine such relative weight.
- this invention provides such a system further comprising: rating the relative overall value of each such database subject according to the opinion of each of such involved subset of such population of users; collecting comments about each such database subject according to the opinion of each of such involved subset of such population of users; and associating, in such database, respective such ratings of relative overall value and respective such collected comments with respective such database subjects. And it provides such a system further comprising: accumulating, storing, and analyzing all associations, including subject categorizations, of all such overall degrees of relevance of all of such plurality of natural- language terms associated with all such database subjects; determining preferred such natural-language terms, according to such population of users, for selected categories of subjects.
- such determining a set of relevant such database subjects as are correlated with a high aggregate degree of relevance among such respective overall degrees of relevance of such set of respective particular-user-preferred such natural-language terms comprises determining an ordered set of relevant such database subjects as are correlated with a highest aggregate degree of relevance among such respective overall degrees of relevance of such set of respective particular-user-preferred such natural-language terms; and, further, wherein such presenting to such particular user information about such relevant database subjects includes presenting to such particular user an ordered set of relevant such database subjects as are correlated with a highest aggregate degree of relevance among such respective overall degrees of relevance of such set of respective particular-user-preferred such natural-language terms.
- this invention provides an Internet website client- server computer system, for use to determine a level of subject interest for each one of a population of users by capturing other users' (of such population of users) opinions about the degree of relevance of each of a respective set of natural language descriptive terms to each of a respective set of subjects, comprising: a server database system of subjects, each associated with a set of relevant natural - language terms for describing each such subject; wherein each of a respective subset of such terms has been assigned, by each of a subpopulation of such population of users, a degree of relevance with respect to a respective such subject; a client interface system arranged so that such one user may select a set of preferred such natural -language terms which, to such one user, best describe preferred "subjects of interest" to such one user; a server computer processor system connected with such server database system and such client interface system; and a server computer software system, operational with such server computer processor system, arranged to provide search processing using such server database system to:
- this invention provides a business system, for a developer of web computer systems of the type involving supporting a community of users searching for particular subject information, to achieve additional revenue from customers using such computer systems, comprising the steps of : providing for such computer systems to operate essentially without customer website management; providing for such computer systems to directly motivate and automatically manage the direct collection of sponsor revenue from respective entities desiring to sponsor a respective particular item of such subject information; and charging such customer, for use of such computer systems, an amount comprising a portion of such sponsor revenue. It further provides such a system wherein such particular item of such subject information comprises an exceptional user experience, thereby motivating location-based such entities and a product-based such entities to paying for a plurality of sponsorships .
- this invention provides a business system, for a developer, for use by customers having websites, of web computer systems of the type involving supporting a community of users interacting with a database searching for particular subject information, comprising: providing for such computer systems to comprise software management systems to directly manage such database and such community of users essentially without customer website management; and providing for variables in such software management systems to be configurable by such customer without affecting such direct management operations; wherein such software management systems comprise: soliciting of sufficient information from users for automatic role qualification enhancing software selection and maintenance of a management sub-community; measuring management efforts of each of such management sub- community; queing of qualified users for a next opening in such management sub-community; setting of goals for each of such management community; and managing a reward system to reward management efforts of each of such management sub- community.
- a business system supplied by a developer, for use by customers having websites comprising web server computer systems of the type involving supporting a community of users, having client computer systems, interacting with a database searching for particular subject information, comprising providing, for website use: computer software means for direct automatic management of such database and such community of users essentially without customer website management; and computer software means for permitting such customer to configure a large set of variables in such computer software means for direct automatic management of such database and such community of users without affecting full operation of such direct automatic management; wherein such computer software means for direct automatic management of such database and such community of users essentially without customer website management comprises: computer software means for soliciting of sufficient information from such users for automatic role qualification enhancing automatic selection and automatic maintenance of a management sub-community; computer software means for automatically measuring management efforts of each of such management sub-community; computer software means for automatically providing queing of qualified users for a next opening in such management sub-community; computer software means for automatic setting of goals for each of such management community;
- Such computer software means for direct automatic management of such database and such community of users essentially without customer website management further comprises : computer software means for describing a database subject using a plurality of natural-language terms, each of such plurality of natural-language terms having relevance to such subject according to an involved subset of such community of users; computer software means for rating the degree of relevance of each of such plurality of natural-language terms to such database subject according to each of such involved subset of such community of users; computer software means for associating, in such database, each respective natural- language term of each such plurality of natural-language terms and such associated respective degree of relevance with each such database subject; and computer software means for computing, for such involved subset of such community of users, in such database, an overall degree of relevance of each of such plurality of natural-language terms to such database subject.
- Such computer software means for direct automatic management of such database and such community of users essentially without customer website management further comprises : computer software means for automatically assisting such management sub-community to solicit subject sponsors; and computer software means to permit such subject sponsors automatically to send website materials and pay fees.
- computer software means for automatically managing a reward system to reward management efforts of each of such management sub-community comprises: a computer software system for measuring and storing each contribution, including users' comments, to the database of each of such management sub-community; and making available to each of such management sub-community a contributor record of how many views other users have made of such contributions, including how many users agreed with such contributor's comments.
- Such computer software means for automatically managing a reward system to reward management efforts of each of such management sub-community comprises a computer software system configurable to automatically allocate percentage rewards to a particular one of such management sub-community as a percentage of a settable pool; and further, wherein such percentage rewards from such pool may be paid only to a settable percentage of such management sub-community.
- Such computer software means for direct automatic management of such database and such community of users essentially without customer website management further comprises : computer software means for automatically aggregating all user-proposed items for database adds, changes, and deletions into a review queue to which such management sub-community has access; and computer software means for automatically requiring at least one of such management sub-community to review and approve any such item before website publication is implemented.
- Such review queue is multilevel based essentially on item "aging"; and escalating rewards are offered to at least a set of such management sub- community for disposal of "older" items.
- such computer software means for automatically managing a reward system to reward management efforts of each of such management sub-community comprises a computer software system wherein each of such management community may be motivated to perform highly specific actions to further business objectives of such business system by automatically awarding more or less rewards for specific actions to influence behavior. And it provides such a system wherein such computer software means for automatically managing a reward system to reward management efforts of each of such management sub-community may be configured "on the' fly" .
- this invention provides a business system, supplied by a developer, for use by customers having websites comprising web server computer systems of the type involving supporting a community of users, having client computer systems, interacting with a database searching for particular subject information, comprising providing, for website use: computer software means for direct automatic management of such database and such community of users essentially without customer website management; and computer software means for permitting such customer to configure a large set of variables in such computer software means for direct automatic management of such database and such community of users without affecting full operation of such direct automatic management; wherein such computer software means for direct automatic management of such database and such community of users essentially without customer website management comprises: computer software means for soliciting of sufficient information from such users for automatic role qualification enhancing automatic selection and automatic maintenance of a management sub-community; computer software means for automatically measuring management efforts of each of such management sub-community; computer software means for automatically providing queing of qualified users for a next opening in such management sub-community; computer software means for automatic setting of goals for each of such
- this invention provides such a system wherein such computer software means for direct automatic management of such database and such community of users essentially without customer website management further comprises: computer software means for describing a database subject using a plurality of natural-language terms, each of such plurality of natural-language terms having relevance to such subject according to an involved subset of such community of users; computer software means for rating the degree of relevance of each of such plurality of natural - language terms to such database subject according to each of such involved subset of such community of users; computer software means for associating, in such database, each respective natural-language term of each such plurality of natural-language terms and such associated respective degree of relevance with each such database subject; and computer software means for computing, for such involved subset of such community of users, in such database, an overall degree of relevance of each of such plurality of natural-language terms to such database subject.
- this invention provides a computer system, usable by a large population of Internet users, for creating and maintaining information in a searchable database of defined categories of subjects, comprising, in combination: storage means for storing a large corpus of natural language terms for describing such subjects; relevancy storage means for storing, associated with each such defined category, at least a respective subset of such terms most relevant, according to such population, to such subject within such respective defined category; processing means for updating such relevancy storage means; processing means for presenting to one such user, in association with one such subject, a plurality of such terms most relevant to such subject; interface processing means for assisting such user to choose from such plurality of such presented terms a plurality of such-user-preferred most-relevant such terms to such subject; interface processing means for assisting such user to rate on a predefined scale the relative degree of relevance of each such most-relevant term to such one subject; storage means for storing such respective ratings of such respective most- relevant terms for such respective subject according to each of a subpopulation of such
- such predefined scale for a system for which English is the natural language comprises essentially at least three of the following levels of modifiers: "slight”, “somewhat", “important”, “very”, “extremely”.
- processing means for computing, for such subpopulation, a preselected type of overall degree of relevance to each respective such subject of each respective such most-relevant term comprises: a storage means for dating each such user ratings of such degree of relevance of such natural-language term; and a processing means for removing such user ratings of more than a selected age from being used in such computing of such overall degree of relevance.
- processing means for updating such relevancy storage means comprises: determine which of such natural-language terms have been used most in such defined category -- as top words; determine percentage breakdown of top words by first alphabet letter of all such natural-language terms in such defined category; find the selected number of such natural-language terms to be displayed in each display process; for each set of first- alphabet-letter words and each such selected number, grab the specified percentage of top words ; and applying the above four steps once each selected timeframe to update such relevancy storage means .
- Such interface processing means for assisting a particular user to base a subject search at least upon a chosen set of particular-user-preferred such natural language terms further comprises : interface processing means for assisting such particular user to select other search options on which to co-base such subject search; wherein such other search options are selected from the class which consists essentially of a defined category of subjects, a defined subcategory of subjects, a defined location of subjects, a defined subject, a defined organization name, a defined sum of money to spend, and a defined amount of time to spend.
- an Internet website client- server computer system for use to determine by e-mail survey a level of subject approval for each one of a population of survey participants by capturing each such participant's opinions about the degree of relevance of each of a respective set of natural language terms to each of a respective set of subjects, comprising: a client interface system arranged so that a survey taker may indicate at least : a defined question for the survey, a such set of subjects to be evaluated, a such set of natural-language terms to be rated as to relevancy to each subject, a participant audience, and a time-frame for response; a server computer processor system connected with such client interface system; and a server computer software system, operational with such server computer processor system, arranged to provide survey processing comprising: compiling a survey file and survey document in accordance with survey taker input, communicating such survey document to such participant audience, and receiving and tabulating responses.
- FIG. 1-A is diagrammatical overview of the Internet communications used in the instant system.
- FIG. 1-B is diagrammatical overview of the website computer system.
- FIG. 1-C is diagrammatical overview of the relationship among the website servers and the users.
- FIG. 2 is a diagrammatical view of a prior art system.
- FIG. 3 is a diagrammatical view of a preferred embodiment of the instant system.
- FIG. 4 is a diagrammatical view of the activity database.
- FIG. 5 is a diagrammatical view of the experience management automation.
- FIG. 6 is a diagrammatical view of the word management automation.
- FIG. 7 is a diagrammatical view of reporting management automation.
- FIG. 8 is a diagrammatical view of the correspondent and member management automation.
- FIG. 9 is a diagrammatical view of the rewards management automation.
- FIG. 10 is a diagrammatical view of the sponsorship management automation.
- FIG. 11 is a diagrammatical view of the sponsorship process .
- FIG. 12 is a further diagrammatical view illustrating the automated management of sponsorships .
- FIG. 13 is a diagrammatical view of adding and viewing subjects.
- FIG. 14 is a diagrammatical view of the weighting of overall subject and descriptive word ratings.
- FIG. 15 is a diagrammatical view of the e-mail management automation.
- FIG. 16 is a diagrammatical view of the descriptive word promotion.
- FIG. 17 is a diagrammatical view of the subject search process.
- FIG. 18 shows explanatory notes relating to FIG. 17.
- FIG. 19 is a diagrammatical view of the preferred survey procedure .
- FIG. 20 is a diagrammatical view of the preferred instant software system.
- FIG. 21 is a diagrammatical view of the home page screen.
- FIG. 22 is a diagrammatical view of the search box screen.
- FIG. 23 is a diagrammatical view of the category box screen.
- FIG. 24 is a diagrammatical view of the Terraformer screen.
- FIG. 25 is a diagrammatical view of the subcategories button screen.
- FIGS. 26-A and 26-B are diagrammatical views of the member registration screen.
- FIGS. 27-A and 27-B are diagrammatical views of the correspondent registration screen.
- FIG. 28 is a diagrammatical view of the correspondent application screen.
- FIG. 29 is a diagrammatical view of the questions screen.
- FIG. 30 is a diagrammatical view of the answers screen.
- FIGS. 31-33 are diagrammatical views of the add-a-subject screens.
- FIG. 34 is a diagrammatical view of a preferred screen illustrating the minimum and maximum number of descriptive words one wants to display for the user during the process of adding a subj ect .
- FIG. 35 is a further diagrammatical view of the descriptive word screen.
- FIG. 36 is a diagrammatical view of a preferred screen for add-a-subject.
- FIG. 37 is a diagrammatical view of a screen depicting the configuration of opinion multipliers.
- FIGS. 38 -A and 38-B are diagrammatical views of a screen illustrating the add-a-subject process, showing the words to be rated.
- FIG. 39 is a diagrammatical view of the add-additional- words screen.
- FIG. 40 is a diagrammatical view of the comments screen.
- FIGS. 41-A and 41-B are diagrammatical views of the preview screen.
- FIG. 42 is a diagrammatical view of the results screen.
- FIGS. 43 -A and 43 -B are diagrammatical top views of the subject page screen.
- FIG. 44 is a diagrammatical view of the subcategories screen.
- FIGS. 45-A and 45-B are diagrammatical views of personalized search screens.
- FIG. 46 is a diagrammatical view of a screen illustrating the descriptive words and/or phrases preselected by the client to appear with a category.
- FIG. 47 is a diagrammatical view of a box in the lower left-hand corner of the subject page screen, offering the opportunity to sponsor the subject.
- FIGS. 48-A and 48-B are diagrammatical views of the screen returned to begin to get the desired information from the sponsor.
- FIGS. 49-A through 49-D are diagrammatical views of screens illustrating the next sponsorship screens to receive information.
- FIG. 50 is a diagrammatical view of the sponsor section headers screen.
- FIGS. 51-A through 51-C are diagrammatical top-to-bottom views of the newly sponsored page screen.
- FIG. 52 is a diagrammatical view of the payment information screen.
- FIG. 53 is a diagrammatical view of the screen illustrating the confirmation of sponsorship.
- FIGS. 54-A and 54-B are top-to-bottom diagrammatical views of the subject-just-sponsored screen.
- FIGS. 55-A and 55-B are diagrammatical views illustrating the screen where a registered user may add opinions to an existing subject's rating and reviewing.
- FIG. 56 is a diagrammatical view of the improvement screen.
- FIGS. 57-A and 57-B are diagrammatical views of the screen illustrating the various elements comprising each "MyPage" .
- FIG. 58 is a diagrammatical view of the screen illustrating the "My Contributions" box.
- FIG. 59 is a diagrammatical view of the "Subjects Added” screen.
- FIG. 60 is a diagrammatical view of the screen illustrating the "Lives Touched” box.
- FIG. 61 is a diagrammatical view of the comments screen.
- FIG. 62 is a further diagrammatical view of the comments screen.
- FIG. 63 is a diagrammatical view of the screen illustrating a sample page for "Subjects Awaiting Approval”.
- FIG. 64 is a diagrammatical view showing a rejected subjects screen.
- FIG. 65 is a diagrammatical view of the "To Do List” screen.
- FIG. 66 is a diagrammatical view of the "Notify organizations for Subjects added" screen.
- FIG. 67 is a diagrammatical view of the screen illustrating the sending an email to an organization.
- FIG. 68 is a diagrammatical view of the screen showing details of the subjects added.
- FIG. 69 is a diagrammatical view of the screen illustrating further details of an added subject awaiting review.
- FIG. 70 is a diagrammatical view illustrating a reviewing improvements screen.
- FIGS. 71-A and 71-B are diagrammatical views of a screen wherein the correspondent can review improvements.
- FIG. 72 is a diagrammatical view of the process of deleting " subjects from the screen.
- FIG. 73 is a diagrammatical view of the screen illustrating the subject that's recommended for deletion.
- FIG. 74 is a diagrammatical view of a screen illustrating "My Favorite Subjects" box.
- FIG. 75 is a diagrammatical view of a screen illustrating "My Interests" box.
- FIG. 76 is a diagrammatical view of a screen illustrating "My Organization" box.
- FIG. 77 is a diagrammatical view of a screen illustrating "My Rewards" box.
- FIG. 78 is a diagrammatical view of a screen illustrating points earned.
- FIG. 79 is a diagrammatical view of a screen illustrating the subjects added in an area.
- FIG. 80 is a diagrammatical view of the "Account Balance” screen.
- FIG. 81 is a diagrammatical view of a screen illustrating cash out .
- FIG. 82 is a diagrammatical view of the screen for "Tell a Friend" .
- FIG. 83 is a diagrammatical view of the "Rate other comments" screen.
- FIG. 84 is a diagrammatical view of the add-a-comment screen.
- FIG. 85 is a diagrammatical view of a screen illustrating the configuration of points per action.
- FIG. 86 is a diagrammatical view of a screen illustrating the configuration of contests.
- FIG. 87 is a diagrammatical view of a screen illustrating the configuration of category display.
- FIG. 88 is a diagrammatical view of a screen illustrating the configuration of regions .
- FIG. 89 is a diagrammatical view of a screen illustrating the process of editing the name of an existing region.
- FIG. 90 is a diagrammatical view of a screen illustrating the configuration of age groups in Terraformer.
- FIG. 91 is a diagrammatical view of a screen illustrating the configuration of bonus points in Terraformer.
- FIG. 92 is a diagrammatical view of a screen illustrating the configuration of point goals and opinion multipliers in Terraformer .
- FIG. 93 is a diagrammatical view of a screen illustrating the configuration of feedback subjects in Terraformer.
- FIG. 94 is a diagrammatical view of a screen illustrating the configuration of sponsorship fees in Terraformer.
- FIGS. 95-A and 95-B are diagrammatical views of a screen illustrating how to create and manage surveys with the survey tool .
- FIGS. 96-A and 96-B are diagrammatical views of the "Create a Survey" screen.
- FIG. 97 is a diagrammatical view of a screen illustrating further survey elements .
- FIGS. 98-A and 98-B are diagrammatical views of a screen illustrating response and results in connection with a survey.
- FIG. 99 is a diagrammatical view of a screen illustrating the survey area text-customization process.
- FIG. 100 is a diagrammatical view of a screen illustrating the custom text fields for use at survey completion.
- FIG. 101 is a diagrammatical view of a screen illustrating the "Congratulations" page following a survey.
- FIG. 102 is a diagrammatical view of a screen illustrating the "User Account History" page.
- the instant system can measurably capture the opinions, including the evaluative approval opinions, of a population, or subpopulation, of users, by asking users to rate the degree of relevancy of such term to the subject.
- a user who is looking for a tasty (i.e., taste approved by the user), beautifully served (service and/or look of the plate approved by the user) dessert may use those natural-language terms in a search and find desserts that other users (hopefully like the searcher) have rated as desserts to which tasty and beautifully served were considered to be highly relevant.
- the user is given by the preferred embodiment of the instant system a discrete choice of, preferably, five levels of relevancy, to which can be applied numbers (like 1 through 5), and such ratings, used by a large population, can be "averaged” to obtain an overall rating for that term to that subject.
- the relevancy ratings of each of the subpopulation of rating users distinctions are preferably made as to the level of trust to be given to a particular user's rating; and the instant system uses, again, measurables for assigning a "weight" to be given to that particular opinion when it is "averaged” and saved as an overall rating.
- the instant search engine finds those subjects having a high aggregate rating, considering all of the terms and/or other search options, e.g., an average of the overall ratings of the several, say, terms entered by the user in searching. Further, since, in normal word-of-mouth conversations among people, they often try to give and get approval-evaluation information by using such terms, the site operator will have a data "goldmine" about user's favorite such terms to use in favorably discussing the categories of subjects of such website; and such analyzed data will have a ready market at least in the advertising community.
- the developer should, in the software system design, preferably limit the operator's labor of management and other responsibilities and create automatic income -- from which the developer may be paid well.
- the instant system in the specific manners described herein, is a preferred embodiment of such a system, needing essentially no operator management -- the software itself motivates and rewards the user community sufficiently to keep them doing the sorts of duties otherwise befalling an operator .
- the present invention preferably comprises a computer system 1-8.
- the computer system 1-8 comprises input and output devices as is well known in the art.
- the computer system 1-8 preferably comprises a display screen or monitor 1-4, a keyboard 1-16, a printer 1-14, a mouse 1-6, etc.
- the computer system 1-8 further preferably comprises a database 1-2 for storage of the data and software comprising preferred embodiments of the present invention.
- the computer system 1-8 is preferably connected to the Internet 1-12 that serves as the presently preferred communications medium.
- the Internet 1-12 as previously discussed, comprises a global network of networks and computers, public and private.
- the Internet 1-12 is the preferable connection method by the users 1-18, 1-20, 1-22 and 1-n in preferred embodiments of the present invention.
- the computer system 1-8 in a preferred embodiment comprises a database server 1-24 and a web server 1-26.
- the database server 1-24 preferably runs in a Windows NT environment and preferably utilizes Oracle 8.x as the database engine.
- the database server 1-24 preferably processes all Gepetto (batch) processes and email. Preferably all Gepetto processes are written in C++m and run as separate execution threads.
- the web server 1-26 also preferably runs in a Windows NT environment .
- the web server 1-26 operates as the web server and the servlet engine.
- the web server software is written in JAVA.
- FIG. 1-C a simplified functional diagram of a preferred embodiment of the present invention is shown.
- This figure shows the preferred relationships between a user 1-18 (exemplary of any number of users 1-18, 1-20, 1-22, 1-n), the internet 1-12, the web server 1-26 and the database server 1-24.
- a user 1-18 requests a page from the web site of the present invention.
- the user 1-18 is preferably connected via the internet 1-12, and the web page request initiates a call to a Java servlet.
- the servlet is run by the Jrun engine which makes at least one request to the database server 1-24, via the web server 1-26, and generates an HTML page for transmission to the user 1-18 following the database server's completion of the servlet ' s request and transmission of the requested data back to the web server 1-26.
- the web server 1-26 transmits the completed HTML page containing the data requested by the user 1-18 through the Internet 1-12 to the user 1-18.
- Contributor ox Managing Member or Correspondent An individual, who has been determined to be qualified and who has committed to a given level of effort to review and add subjects to the database for which he/she earns points in the contributor's pool of earned points.
- a contributor also is sometimes referred to as a- correspondent or managing member.
- Guest An individual who registers, utilizes the database information and provides ratings, opinions, comments and feedback. A guest may earn points in the guest pool of earned points or additional access to database content for his/her contributions of ratings, comments, opinions, etc.
- Subject Represents the information content that describes a specific product, service, topic, or a leisure or recreational activity contained in the database, preferably an exceptional experience. Each subject entry contains some "profile" information and the descriptive words or terms used to describe and rate the experience.
- FIG. 20 a high level functional diagram of the process flows and functions in a preferred embodiment of the present invention is shown. Shown herein is that the client sets each management option for the Terraformer, used herein refer to the subsystem of the instant overall system used by customers (website owners) to configure the instant system as preferred by such customer.
- the Terraformer preferably comprises the following modules which will be explained in greater detail herein below: Word Management, Subject Management, Correspondent & Member Management, Rewards Management, Sponsorship, E-Mail Set Up Requirements, and Reporting Parameters.
- the Terraformer modules are coupled to the database tables .
- the database tables preferably comprise the following modules that will also be explained in greater detail herein below: Management Settings, Users, Subjects, History, and Status. Also shown is that the users may perform certain tasks or otherwise exercise functions, preferably comprising: Search for subjects, Add/Change Subjects, Rate Subjects, Comment on Subjects, Approve Adds/Changes, Notify Potential Sponsors, and Suggest new words. Further preferably linked to the Database are the main modules or functions: GEPETTO, MYPAGE, SPONSOR, E-MAIL, AND REPORTING.
- FIG. 2 an overview of the prior art comprising an Internet Website serving a community of users to find subjects is shown.
- the prior art features a plurality of parties comprising an Internet Advertising Placement Agency, the Business Community, the User Community, and the Developer/Operator/Site Managers that interact or have the following relationships between them, with respect to each other and the centrally-located website software, as shown in FIG. 2 and summarized in Table 1 below.
- the prior art Website example comprises components and associated programming of: Advertising, Content & Overall Ratings, Management, & Rewards under the control operation and management of the Developer/Operator .
- Each of these areas requires input or control from one of the parties.
- the Internet Advertising Placement Agency is responsible for the Website Advertising Placements/View Counts affecting the Website content and programming
- the user community is responsible for Entries & Overall Ratings into the Website, and receives Rewards distributed from the Website
- the Developer/Operator/Site Managers are directly responsible for the Configuration and Management of the Website. It should be noted that in general these functions are not automatic.
- the parties, in particular the Developer/Operator/Site Managers must exercise essentially day-to-day control and management of the Website to assure that the users receive awards, the advertising content and placement is correct, the entries and overall ratings are valid, etc. Also, the
- embodiments of the present invention contrast in very important ways from the prior art.
- embodiments of the present invention feature a plurality of parties comprising an Internet Advertising Placement Agency, the Business Community, and the User Community.
- embodiments of the present invention comprise a Customer, a Developer and Sponser(s). These parties interact or have the following relationships between them as shown in FIG. 3 and summarized in Table 2 below. Table 2:
- Embodiments of the present invention essentially do not have, nor require, an Operator/Site Manager party and their associated functions.
- Embodiments of the present invention comprise a Customer responsible only for the Website configuration as opposed to both configuration and management. Also, the customer now owns the Website instead of the Developer/Operator/Site Managers thus providing a lower cost solution to Website operation. The customer, in a preferred embodiment, forwards Page Views payments and Sponsorship payment sharing to a Developer who preferably need no longer have essential management functions .
- the Website preferably comprises components and associated programming of: Advertising, Content & Word Ratings (as opposed to Overall "star” Ratings), Management, & Rewards/Performance Management.
- the Website interaction between the User Community and the Website now comprises not only rewards but also performance feedback.
- the User Community now provides to the Website not merely Entries and Overall Ratings, but instead Entries and Word (i.e., again, what is sometimes herein referred to as natural-language term, preferably evaluative, preferably appoving) Ratings/Approvals .
- embodiments of the present invention preferably comprise another party - Sponsors.
- the Sponsors receive notice of entry from the User Community, and in turn provide automatically-set-up (by the website software) payments to the Website and Sponsor Entries into the Website. Additionally, Sponsor Payments are automatically sent to the Customer. Key features in preferred embodiments of the present invention are preferably that the Website essentially does not require Management by a Developer/Operator/Site Manager, and that the software of the Website performs management functions automatically. Also, the Website automatically interacts with the User Community to establish Content and natural-language term (herein sometimes called "Word") Ratings of relevance to a subject.
- FIG. 4 an overview functional diagram of the Activity Database of the main Database 1-2 (see Figs. 1-A, 1-C, and 20) is shown.
- the Activity Database preferably comprises Activities performed by Users that cause data additions/changes to the Activity Database.
- the Users comprise: Guests, Members, Correspondents (also called Contributors herein) and Sponsors.
- the Users may take various actions or interact preferably as follows: Guests may View Subjects. In contrast, Members may View: Experiences, Overall Ratings, Word Ratings, Comments Made, and Agreement with comments. Also, Members may submit Add Subject Requests.
- Another class of Users, the Correspondents and Sponsors may also preferably View: Experiences, Overall Ratings, Word Ratings, Comments Made, and Agreement with comments.
- Correspondents and Sponsors may preferably submit Add Subject Requests, Modify Subject Requests, Delete Subject Requests, and submit Ratings Reset Requests.
- the activities by the Users may preferably be reflected in the Activity Database fields.
- the Activity Database fields preferably comprise: Date/time, Subject, User ID, Activity completed, Words & ratings, Comment agreement, and Subject
- FIG. 5 a high level functional diagram of the Experience Management Automation software is shown.
- the core of the Experience Management Automation software is preferably comprised within the Terraformer Module.
- Terraformer Module performs Experience Management that preferably comprises the activities of allowing the Customer to: Set word deletion rating threshold; Set subject deletion overall rating threshold, number of months, & minimum rating count; Set ratings removal aging criteria; and Set use of local and national approval queues and time frame for approvals to move between them, or just national queues.
- the customer preferably initially evaluates and sets each of these configuration and management options that are comprised within the Terraformer as desired.
- the Experience Management settings are preferably placed into the WOM Database where they affect and are stored in the Web Site Configuration & Management Settings table.
- the WOM database tables content and/or changes are preferably input to the Gepetto Module which will preferably: Remove subjects with overall ratings below threshold; Remove subjects with poor word ratings (optional); Calculate each members weighting value for ratings; Remove old ratings and recalculate rating; Remove old comments, and Generate most used word descriptive word lists.
- the WOM database tables content and/or changes are also preferably input to the MyPage Reporting Module which will assist implementation of the working of Approval Queues for adds, updates, deletions and potential sponsor notification.
- FIG. 6 a high level functional diagram of the Word Management Automation software is shown.
- the core of the Word Management Automation software is preferably comprised within the Terraformer Module.
- the Terraformer Module performs Word Management that preferably comprises the activities of allowing the Customer to: Set correspondent & member subject weightings; Set number of words to be displayed for adds & ratings; Assign words to categories/subcategories ; and Set word deletion rating threshold. For each of these activities, the customer preferably initially evaluates and sets each of these configuration and management options that are comprised within the Terraformer as desired.
- the Word Management settings are preferably placed into the WOM Database where they affect and are stored in the Web Site Configuration & Management Settings table.
- the Users may interact with the Word Management Automation software and preferably perform activities that: Search for Subjects, Add/Change Subjects, Rate Subjects, Comment on Subjects, Approve Adds/Changes, Notify Potential New Sponsors, and Suggest New Words. These activities affect the WOM Database tables: Correspondents, Members & Sponsors; Subjects (Content); Activity History; and Application Status.
- the WOM database tables content and/or changes are preferably input to the Gepetto Module which will preferably: Calculate Word Usage frequency by sub-category; and Select Words presented in subject add, search, and ratings.
- FIG. 7 a high level functional diagram of the Reporting Management Automation software is shown.
- the core of the Reporting Management Automation software is preferably comprised within the Terraformer Module.
- the Terraformer Module comprises Reporting Parameters that preferably comprises the activity of allowing the Customer to Set Reporting parameters, time frame and level of detail.
- the customer preferably initially evaluates and sets the configuration and management options for the Reporting Parameters that are comprised within the Terraformer as desired.
- the Reporting Management settings are preferably placed into the WOM Database where they affect and are stored in the Web Site Configuration & Management Settings table.
- the Reporting Management Automation software may interact with the Reporting Management Automation software and preferably perform activities that: Search for Subjects, Add/Change Subjects, Rate Subjects, Comment on Subjects, Approve Adds/Changes, Notify Potential New Sponsors, and Suggest New words. These activities affect the WOM Database tables: Correspondents, Members & Sponsors; Subjects (Content); Activity History; and Application Status.
- the WOM database tables content and/or changes are preferably input to the Customer/Management Reporting module which will perform the functions of providing reporting for: Overall Member Status; Overall Correspondent Status; Overall Content Status; Detail Content Status; Overall Sponsor Status; and Detail Sponsor Status.
- the core of the Correspondent & Member Management Automation software is preferably comprised within the Terraformer Module.
- the Terraformer Module comprises Correspondent & Member Management that comprises preferably activities to: Set qualifications requirements and automatically select correspondents; Set goals for correspondents and members; Set correspondent count management for geographic region (Optional); and Set standards of performance for promotion & demotion.
- the customer initially evaluates and sets the configuration and management options for the Correspondent & Member Management that are comprised within the Terraformer as desired.
- the Correspondent & Member Management settings are placed into the WOM Database where they preferably affect and are stored in the Web Site Configuration & Management Settings table.
- the Correspondent & Member Management Automation software may interact with the Correspondent & Member Management Automation software and perform activities that preferably: Search for Subjects, Add/Change Subjects, Rate Subjects, Comment on Subjects, Approve Adds/Changes, Notify Potential New Sponsors, and Suggest New words. These activities affect the WOM Database tables: Correspondents, Members & Sponsors; Subjects (Content) ; Activity History; and Application Status.
- the WOM database tables content and/or changes are preferably input to the MyPage Reporting module which provides information to the Correspondents and Members preferably comprising: Reports "to do's" to members and correspondents; Activity Counts (adds, updates, ratings, comments, approvals; Reports progress against goals for members and correspondents; Report Lives touched, i.e. people who have visited subjects you have added, and their comments made; and Report top "x" number of contributors.
- the core of the Rewards Management Automation software is preferably comprised within the Terraformer Module.
- the Terraformer Module comprises the Rewards Management software that comprises, preferably, activities to: Set amount of the pool $ available for distribution to member and correspondent; Set point values for each member & correspondent activity; Set award pool percentage (%) or count of participants to receive awards; Set dollar ($) value of points (optionally) ; Set up contest parameters e.g. : Number of entry points parameter, winners are selected randomly from the entrants, etc.; and set the setting of the % or the number (#) of people on the top lists (Top 100 subjects, top Contributors, Top Ratings, etc.).
- the customer initially evaluates and sets the configuration and management options for the Rewards Management that are comprised within the Terraformer as desired.
- the Rewards Management settings are placed into the WOM Database where they preferably affect and are stored in the Web Site Configuration & Management Settings table.
- the WOM database tables content and/or changes are preferably input to the MyPage Reporting module which provides information preferably comprising: Report points earned and $ equivalent
- the core of the Sponsorship Management Automation software is preferably comprised within the Terraformer Module.
- the Terraformer Module comprises the Sponsorship software that comprises, preferably, activities to Set per experience sponsorship rates .
- the Sponsorship content and formats for text content, quantity of text and picture size are preferably predefined by the software.
- the customer initially evaluates and sets the configuration and management options for the Sponsorship Management that is comprised within the Terraformer as desired.
- the Sponsorship Management settings are placed into the WOM Database where they preferably affect and are stored in the Web Site Configuration & Management Settings table.
- the WOM database tables content and/or changes are preferably input to the Sponsor Billing module which preferably provides functions comprising the Automated billing of Sponsors and Sponsor activity reports.
- FIG. 11 a diagrammatical view of sponsorship depicting two example Sponsorship flows is shown.
- Bill a member, enjoys a great apple pie at "Home Cooking" restaurant.
- Bill desires to share this wonderful experience. Therefore, Bill submits a description of the Apple Pie at Home Cooking to WOM.
- the description of the Apple Pie is available on WOM for Approval of the Apple Pie by other members. If the members do not approve the Apple Pie description submission, then the Apple Pie description is returned to Bill for correction of the errors .
- the Apple Pie description is preferably submitted to the Sponsor notification queue, and preferably is also made available under the Subjects available to the users and members.
- the members may decide to Notify the Home Cooking restaurant of their apple pie subject, and any other pending subject for the Home Cooking Restaurant.
- a Correspondent will preferably read the queue and preferably send an e-mail notice to the Home Cooking Restaurant.
- the Home Cooking Restaurant may now decide if they choose to Sign up to be a sponsor. If the Home Cooking Restaurant chooses to Sign up to be a Sponsor, they may now add restaurant information to the Subject data that initiated the Sponsor notification i.e. the "great apple pie" .
- the Sponsorship process may be repeated as often as desired. For example, Jill, a member, enjoys a great meatloaf sandwich at "Home Cooking" restaurant. Jill desires to share this wonderful experience. Therefore, Jill submits a description of the Meatloaf sandwich at Home Cooking to WOM. The description of the Meatloaf sandwich is available on WOM for Approval of the Meatloaf sandwich by other members. If the members do not approve the Meatloaf sandwich description submission, then the Meatloaf sandwich description is returned to Jill for correction of the errors . Following approval of the Meatloaf sandwich description by the members, the Meatloaf sandwich description is preferably submitted to the Sponsor notification queue (as was the great apple pie) , and preferably is also made available under the Subjects available to the users and members.
- the members may decide to Notify the Home Cooking restaurant again, this time concerning their Meatloaf sandwich subject, and any other pending subject for the Home Cooking Restaurant.
- Correspondents will preferably read the queue and preferably send an e-mail notice to the Home Cooking Restaurant.
- the Home Cooking Restaurant may now decide if they choose to Sign up to be a sponsor of the Meatloaf sandwich. If the Home Cooking Restaurant chooses to again Sign up to be a Sponsor, they may now add restaurant information to the Subject data that initiated the Sponsor notification, i.e. the "great meatloaf sandwich" .
- the Home Cooking restaurant may also update any other subjects they have such as the "great apple pie” .
- the Sponsored information on the great apple pie and meatloaf sandwich subjects, including any updates is preferably then made available to users and members.
- the total number of Subjects sponsored is input to the Sponsor Management software on the Website which generates the fees due from the Home Cooking restaurant and bills the Home Cooking restaurant, preferably on a monthly basis, in order to collect the money due.
- the Home Cooking restaurant, once billed, may pay for their sponsorship, preferably using an E-check or by charging a credit card for all sponsored subjects .
- FIG. 12 a further diagrammatical view of the sponsorship process of FIG. 11 is shown.
- the process described in reference to FIG. 11 embodies an important feature of the present invention.
- the Subject Management and Sponsor Management did not require the intervention of a Developer/Operator/Site Managers as shown in the prior art of FIG. 2. Rather, in this preferred embodiment of the present invention, the WOM Website software automatically processed the E-mail notice (s) regarding sponsorship of the apple pie and meatloaf sandwich entries.
- the WOM Website software further automatically processed the Subject updates, information additions, etc., and also automatically processed the billing and payment by E-check or credit card for the sponsored entries by the Home Cooking restaurant .
- FIG. 13 a diagrammatical view of the process of adding and viewing subjects is shown.
- Bill a correspondent, wants to add Trail 100, a great hiking trail in Phoenix to the Subjects.
- Trail 100 a great hiking trail in Phoenix to the Subjects.
- Bill Adds Trail 100 as an Subject Bill will be presented with screens by the WOM software that will preferably allow Bill to:
- the Subject is then preferably placed into the Approval Queue for Review by another correspondent (s) . If the reviewing correspondent (s) do not grant Approval of the Subject, the Subject submission is returned to the Originator, Bill, for correction or deletion. Following correction by the Originator, Bill, the Subject submission is again preferably placed into the Approval Queue for review by another correspondent (s) . Following a grant of Approval by the reviewing Correspondent (s) , the submitted and approved Subject is placed into the Subject Database. It should be noted that, preferably, Sponsors may add Subjects using the same process, except that their entries are not subjected to review and approval by correspondents .
- Jill a member, wants to find a hiking trail in Phoenix.
- Jill may access the WOM Website from a computer and submit search criteria including "sublime" hiking trails in Phoenix.
- the search is run in the Subject Database and the results returned to Jill at her computer for viewing.
- the results will include the Trail 100 as Bill had used the word "Sublime” when describing the Subject.
- Jill may now choose to look at the detail concerning Trail 100.
- Jill may further preferably choose to: Rate the Subject overall, rate the words, and/or rate additional words; Add comments; or View Sponsorship information if such is available.
- the WOM Website software will also function such that all activities, adding, approving, viewing, rating and adding comments are recorded in the Activity database for reporting and management .
- FIG. 14 a diagrammatical view of the weighting of overall subject and descriptive word ratings is shown. Five factors are used to create a multiplication value that the system will use when weighting a "degree of relevancy" rating which a user has made. This value can either make the rating more or less influential . The five factors are:
- the process of the weighting of overall subject and descriptive word i.e., as noted, natural-language terms, preferably evaluative, preferably approving) degree-of- relevancy ratings preferably comprises the following steps:
- Val4 Determine the subject quality multiplier value (Val4). This is a value that is calculated based on the overall ratings of all subjects entered by the user giving the rating. If the value is above a specific threshold, another multiplier is preferably added to the mix. If there are no subjects, preferably the value is 1 and has no effect on the rating.
- the core of the E-mail Management Automation software is preferably comprised within the Terraformer Module.
- the Terraformer Module performs E-mail Management that preferably comprises the E-mail Set Up Requirements activities of allowing the Customer to: Set content for automatic e-mail messages, and Set Default e-mails addresses. For each of these activities, the customer preferably initially evaluates and sets each of these configuration and management options that are comprised within the Terraformer as desired.
- the E-mail Management settings are preferably placed into the WOM Database where they affect and are stored in the Web Site Configuration & Management Settings table.
- the E-mail Management Automation software may interact with the E-mail Management Automation software and preferably perform activities that: Search for Subjects, Add/Change Subjects, Rate Subjects, Comment on Subjects, Approve Adds/Changes, Notify Potential New Sponsors, and Suggest New Words. These activities affect the WOM Database tables: Correspondents, Members & Sponsors; Subjects (Content); Activity History; and Application Status.
- the WOM database tables content and/or changes are preferably input to the E-mail Module which will preferably provide for Automated e-mail notices comprising: Motivational emails of lives touched, etc.; Contest Winners; Information of Interest (Subjects, etc.); and 'On the fly' emails to individual members .
- the descriptive word promotion software preferably comprises the following steps:
- the descriptive word promotion software will preferably repeat this process for each letter and each category in the database.
- the descriptive word promotion software preferably has certain assumptions programmed into it, preferably comprising: 1. An initial pool of words has been created for a given level 2 category; and 2. Once each timeframe (preferably per week) , the routine described above is run to determine what words appear where in the application.
- FIG. 17 a flow chart of the preferred flow for a subject search is shown. Notes applicable to FIG. 17 are shown in FIG. 18.
- the subject search flow shown on FIG. 17 is as follows: A User Enters information to search on. The software will determine the search type. If the software determines that a Keyword search is selected, then the procedure of Note 1 is preferably performed.
- the Note 1 procedure preferably comprises the steps of:
- Keywords in the database are made up of the following: a) Organization Name b) Descriptive Words c) Category Descriptors d) Subject Description
- the Note 2 procedure preferably comprises the steps of:
- the search logic is as follows: Search for a subject that meets the original criteria specified, plus the following:
- the software next Determines the user's next function. If the user clicked on ⁇ Refine Search' , the User is presented with page of options to refine their search as explained in Note 3.
- the Note 3 procedure preferably comprises the steps of:
- Any option selected by the user will be applied in conjunction with the original criteria to further qualify the results of the query.
- the options presented to the user include the following: a) Location: City, State, Zip. b) What appeals to you: A list of words selected by the system that have been used most often to describe the subjects included in the given category. c) Free form word field: A location where the user can put a word or words that did not appear in 'What appeals to you' . d) Amount of money you would like to spend. e) Amount of time you would like to spend. Following the option presentation of the option selections, and the User selection of any desired options and the software performs the search Logic Step as previously explained.
- the software will Display the selected 3 rd page view to the user.
- the software will ask was a level 1 or a level 2 category chosen? If a Level 1 was chosen then the software will Display all level 2 categories that exist below the selected level 1. The user will then select the desired level 2, after which the software will Display all subjects in the selected category. The search logic is simply to look for all subjects classified in the 1st or 2nd level category selected, and the results are ordered by the sponsorship flag. Following the Display of all subjects in the selected category, the software will next Determine the user's next function as already explained. If, however, a level 2 was directly chosen following the selection of a Category search, then the software will go directly to the Display of all subjects in the selected category step, the determine users next function, etc. as previously explained.
- a flow chart of the preferred flow for a survey is shown.
- a restaurant owner wants to know how customers feel about their 'Death by Chocolate 1 Dessert.
- the restaurant owner will first define a desired survey.
- the restaurant owner will define a survey to comprise the following questions or parameters:
- the survey definition will then be placed into the Survey Questions database.
- a person will next attempt to take the survey.
- the software will ask is the person's e-mail in an acceptable domain? If the answer is no, the person attempting to take the survey will receive a return message that the survey is not available. The person may try again if they have another e-mail domain that might be acceptable. If the answer is yes, the software will next ask has the Maximum number of surveys been completed? (either for the survey in total or for that defined domain) . If the answer is yes, the person attempting to take the survey will receive a return message that the survey is not available. If the answer is no, the software will next ask has the time limit on administering the survey been reached? If the answer is yes, the person attempting to take the survey will receive a return message that the survey is not available. If the answer is no, the person will complete the survey available in the Survey Questions database.
- the software will tabulate the survey responses and place them in the Survey question response database.
- the survey results will be sent to the Management Control Panel on the Survey URL to enable the restaurant owner to view the survey results .
- the software will next determine if the restaurant owner desired to show the survey results to the person taking the survey. If this was not desired, the person taking the survey will be thanked for taking the survey, and the survey process will be complete. If it was desired, the software will display the survey results to the person taking the survey after which the survey process will be complete.
- the database 1-2 includes the following tables:
- Domain Tables These tables contain the required reference information used to ensure accuracy and consistency of the subject content, guest and contributor information. And (see FIG. 20) these tables are part of management settings.
- Application Status Tables These tables contain information necessary to manage user interactions such as the "state" or status of each active guest or contributor. Status information includes information such as user id, the last screen used, current screen in use, and start of the current session. See FIG. 20 under "Status”.
- System Tables These tables contain the parameters required to control the behavior of the system. Information in these tables gives the system to make decisions regarding certain actions . An example is the length of time a nominated subject will be exclusively available to contributors in a postal code. And (see FIG. 20) these tables are part of management settings .
- the user tables contain all data relevant to registered users of the system. Information includes demographic, system role points earned, points goals, personal preferences, book marked subjects of personal interest. See FIG. 20 under "Users”.
- Subject Tables The subject tables contain all information collected about a subject. For example, all data describing the subject, location of the subject, guest ratings, guest comments, etc. are included here. See FIG. 20 under "Subject” .
- History Tables contain all information collected about user activities, page views, etc. See FIG. 20 under "History” .
- FIG. 20, just referred to, is a high level functional diagram of the process flows and functions in a preferred embodiment of the present invention, previously described, here for referral use in the below detailed review (after the below overview) of the system operation with reference to selected preferred screens of the system.
- Preferred embodiments of the systems of this invention give everyone, without exception, the ability to publish opinions on the Web, and create an easy-to-access database of those opinions.
- the primary unit of measure in the instant systems is the Subject.
- a Subject is preferably an exceptional experience of any kind - a succulent steak, cozy campsite, neighborhood sports bar, inexpensive discount store, beautiful golf course, friendly hairstylist, inspiring karate instructor, etc.
- Web users add their favorite Subjects to a site and, in so doing, create a database of Subjects that all users can access .
- Descriptive Words After selecting some Descriptive Words, users then rate the importance of each of those words. Example: (Extremely tasty, very challenging, somewhat good service, etc.). Those ratings are given a numerical value (5 for "extremely,” 4 for “very,” etc.), and those numerical values are displayed with the rest of the Subject information. The user then types a text comment (as short or long as desired) about the Subject, and the process is complete.
- Descriptive Word systems users aren't required to spend time writing paragraph after paragraph to add their favorite experiences to the database. Instead, they can describe their Subject in seconds using Descriptive Words, rendering the process of giving opinions as easy as a few mouse clicks . And by immediately adding a user ' s own Descriptive Words to the master database, the instant system provides a way for users to build the content and raise the quality of the site every time they use it.
- the search function provided by the instant system grafts a supremely easy-to-use interface onto a complex database-search process.
- the average Web search engine does "full-text" searches - that is, looks through every piece of text for words that match the user's request - the result is often thousands of unrelated Web pages and meaningless phone-book listings.
- the instant searches are different: they're fast and accurate because the technology searches only specific, defined data fields, weeding out results the user doesn't want.
- Another feature of the instant system that gives it such broad appeal is its adaptability. Most features - from the interface to the rewards system - are customizable by the client, making the system as useful to an international daily newspaper as it is to a monthly specialty magazine. Clients/customers may define their own content categories, contests, incentive programs, content-quality standards, sponsorship pricing models, site behavior and more. The set of variables enables the creation of a "word-of-mouth" resource that can lend itself to any geographic- or topic-focused Web site.
- a Managing Member is a volunteer community leader who has applied and been accepted for this role by the client. Subjects entered by a Managing Member must be approved by another Managing Member before they may be viewed by other users. Subjects added by Sponsors are exempt from the content-review process . Their Subjects are immediately added to the database upon entry. This content-review process allows no one (except Sponsors) to make content available to the public without the approval of a site-sanctioned community leader (Managing Member) .
- the instant system uses an extensive and easily customizable rewards program to motivate users to make great contributions to their online community.
- Users are compensated with points for performing each of many actions that build a strong online community: adding content to the site, enriching existing content with comments and ratings, recruiting other members and helping to generate sponsorship revenue.
- the points a user earns for each action is determined by the client: therefore, a site can easily target and improve specific areas of their system site by offering premium point values for actions in those areas .
- a site can also use three separate point-earning structures for each member type (Member, Managing Member and Sponsor) , enabling the implementation of different incentives for each user type. Points are redeemable for cash, prizes or contest entries (depending on a client's wishes) . And a percentage of sponsorship revenue can be shared with top-peforming Managing Members, giving these volunteer leaders incentive to build the community.
- the instant system allows people to spread word-of-mouth over the Internet the same way they do in everyday life - only faster, easier, and without geographic boundaries. Harnessing the power of Descriptive Words (preferably evaluative, preferably approval-type) that everyone uses, people can share and compare their exceptional experiences across all walks of life in a matter of minutes. How does it work? Web site users enter their favorite "Subjects" on the Web site. A Subject is any exceptional experience worth sharing with the online community: a great steak, a cozy campsite, a fun sports bar, an inexpensive discount store, a beautiful golf course, etc. During the process of adding a Subject to the site, users will be asked to enter specific information about it: the location, price, time needed, etc.
- Descriptive Words They'll also be asked to use Descriptive Words to describe their Subject. Users may choose from hundreds of preselected Descriptive Words, or add their own. These words -- the natural language terms that everyday people use to describe the things they like - will be stored in a database that all users can search. Some examples of Descriptive Words are: cozy, scenic, delicious, wonderful, inviting, intimate, romantic, etc.
- Rating Descriptive Words requires the user to enter the degree to which he/she agrees with the word: e.g., extremely cozy, very cozy, slightly cozy, etc.
- a Comment is simply a short overall evaluation of the Subject. Once a Subject is approved for public viewing (by a Correspondent, one of your online community leaders), any user can add his/her ratings to it. Users can rate the Descriptive Words for each Subject, and add Descriptive Words of their own. They can also leave Comments on other Subjects, and rate the Comments of other users as useful or not useful. All Subjects on the site are collected in a database, and the users can search that database by keyword or Category of Subjects (all of which are initially created by the client) to find exceptional things they want to experience .
- a most attractive feature of the instant system is its adaptability. Nearly every feature - from the interface to the rewards system - is customizable by the client, making the system as useful to an international daily newspaper as it is to a monthly specialty magazine. Clients create their own categories, subcategories, contests, incentive programs, news releases and pricing models. Clients may customize the site by configuring it using Terraformer, the system's Web-based administrative program that allows a client to easily customize dozens of elements on the site. Screens and Operation Details
- a typical-type navigation bar preferably appears at the top of every page on the site.
- the links work as follows :
- MyPage If a registered user is logged in, this link takes the user to his/her MyPage. If user is not registered - or if a registered user is not logged in - this link takes him/her to a logon page.
- Links to FAQs are preferably mirrored in the page footer, described as follows. Like the navigation bar, the footer is a standard element of all pages on the site. The links on the top row of the footer mirror the links in the navigation bar described above. The links on the bottom row of the footer work as follows : About us: Links to the instant system "About Us" page.
- Privacy Policy Links to the instant system privacy policy.
- a Log In/Log Out graphic appears in the top right corner of every page on the site. If user is unregistered or simply not logged in, the graphic Log In will appear. If user is logged in, the graphic Log Out will appear. The Log In/Log Out graphic is a fixed element on all pages .
- the home page will preferably look basically as shown by FIG. 21.
- the box 21-1 on the left side of the home page preferably lists the 10 Subjects that have been recently approved by Correspondents and has links to the 100 most recently approved Subjects. The number of new Subjects displayed is fixed at 10 to conserve space on the home page.
- the search box 21-2 is shown in FIG. 22 and its location is preferably fixed at the top right side of the home page. Each field in the search box is preferably fixed.
- the category box 21-3 is shown in FIG. 23. Listed in this box are each category (in bold) and two subcategories beneath it. The client may configure this by defining the categories and deciding which of those categories are displayed on the home page (they need not be all displayed if not wanted) . Note: Two subcategories display under each category on the home page. This number is fixed.
- FIG. 24 illustrates Terraformer ' s top and left navigation bars.
- the first tab that must be selected is in the top navigation bar.
- the proper categories will then appear in the left-hand navigation bar.
- click "Categories” When they appear, click "Categories," and the proper content will appear in the right-hand frame.
- the full screen of content for "Categories” is shown.
- the Log In/Registration procedures are typical of what is well-known in the art. If the user is already registered, he/she types the username and password into the proper fields and clicks the "Log in” button. If the user is unregistered, he/she clicks the "Join Now” or "Sign up now" link, and gets a screen, for Member Registration, like the illustrations of FIGS. 26A-B. The user must fill out each field with an asterisk; all other information is optional. After entering personal information and a username and password, the user may fill out further information about his/her interests, in order to customize his/her personal page (MyPage) on the site. Optional information includes personal interests, locations and organization the user wishes to track. From this page, a user may also apply to be a Correspondent by clicking the link to the application on the left side of the page (highlighted above) .
- Correspondent Registration like the illustrations of FIGS. 27A-B.
- This screen provides details of the advantages and responsibilities of becoming a Correspondent. From here, the user clicks the "Apply Now” link at the bottom right corner of the screen and goes to the following page, illustrated in FIG. 28.
- the Correspondent application is essentially the same as the Member application, but it contains questions in the "My Account Information” section that the Member application does not include. These questions and their answers are scripted by the client. Each answer is assigned a point value (by the client) . When the applicant answers all the questions, his/her numerical score is tabulated and must meet the minimum acceptable score (established by the client) to become a Correspondent .
- a client may configure this area using Terraformer.
- To configure questions to the Correspondent select "Domain Tables" on the top navigation bar and “Questions and Answers” from the left navigation bar. A screen like that illustrated in FIG. 29 will appear.
- the type of question for adding/editing/removing e.g., a question on the Correspondent application.
- To add a new question type the text into the "New Question” field, the click "Append. " To remove an existing question, select it from the list on the left and click "Remove.”
- To edit an existing question select it from the list on the left. Its title will then appear in the "Existing Question” field.
- FIGS. 31, 32, and 33 illustrate the three pages used to Add a Subject.
- the first step in the user's process of adding a Subject is the page of FIG. 31, where he/she must enter some basic information, as shown.
- the user enters the name of the organization who provided the experience: e.g., Morton's Steak House, Samantha ' s Health Spa, etc. This is a required field and preferably not configurable by the client.
- the user must select at least one category and subcategory. These categories are configurable, and the process for configuring them is later described. Once the category is selected (at left) , the relevant subcategories appear on the right .
- the three category and subcategory boxes themselves are not configurable; they are preferably fixed items on this page.
- the user must enter a city, state and ZIP code for each U.S. Subject (state or ZIP code is not required for non-U.S. Subjects.).
- Region, country and surrounding cities are optional. It is recommended that users enter surrounding cities in order to make the Subject more widely available to other users. For example, if User Bob enters a Phoenix restaurant and enters Glendale, Scottsdale and Tempe as surrounding cities, then users who search for any of the four cities - Phoenix, Glendale, Scottsdale or Tempe - will see the restaurant Bob entered.
- the client can configure the Region and Country fields and may also choose the default countries and regions. In the Terraformer screen, click the "Domain Tables" tab on the top navigation bar.
- the user must enter a short summary title for his/her Subject. This title will be the headline on the Subject page. It will also be the linked text that appears when the Subject is called up in search results. The user must also enter a one-sentence summary of the Subject. This description will appear underneath the linked text in search results. It will also be prominent on the Subject page.
- These two fields are preferably fixed. Address, phone number and email address are optional fields . Cost and time are also optional fields; however, these fields may be searched by other users in the Personalized Search area.
- the Comments box under each range allows the user to clarify his/her comments.
- FIG. 33 illustrates the preferred third page of the Add a Subject process. It is where the user will determine the Descriptive Words to associate with his/her Subject.
- the Descriptive Word system is the fastest and easiest way to rate Subjects with the instant system. Instead of making users start with a blank slate, the software automatically presents them with words other users have chosen to describe the same thing.
- User Andy has chosen to give his opinion about a restaurant called "Mr. Sushi.” After learning that Andy's Subject is classified under "Restaurants,” the software generates a list of Descriptive Words that is relevant to the "Restaurants" category. This list is a combination of words that are preloaded in the software, and words that previous users have used to describe other restaurants.
- Andy can then check the words he thinks are appropriate for his review, and, in the spaces below, add his own. Andy has added “large portions” and “fast service” as his own Descriptive Words. The next time a user reviews a restaurant, "large portions” and “fast service” will be part of that user's list of preselected Descriptive Words. By adding his review of Mr. Sushi, Andy has not only contributed content to the Web site, but also made the contribution process easier for future users by adding to the list of preselected Descriptive Words for the "Restaurants" category.
- the client can configure this; it can decide how many words are displayed at this point in the add process and also decide which words show up by designating certain words to appear for certain categories.
- In Terraformer click the "System Tables" tab on the top navigation bar and "System Parameters” in the left navigation bar.
- FIG. 34 illustrates a preferred screen which is shown.
- One types in the minimum and maximum number of Descriptive Words one wants to display for the user during the process of adding a Subject. When finished, scroll to the bottom of the page and click "Update.” To set which words display for this category, click (in Terraformer) the "Domain Tables" tab on the top navigation bar and the "Categories” tab on the left navigation bar.
- a screen like that illustrated in FIG. 35 will appear.
- FIG. 36 illustrates a preferred screen for Add a Subject, page 4.
- the required user steps and the configuration information for page 4 of the Add a Subject process is illustrated as follows.
- the user must answer whether they have experienced the Subject themselves, and how qualified they feel to rate it. These fields are required.
- the top two fields are a part of the credibility system that is built into the software.
- the client can assign credibility multipliers for both of these fields, based on how the user answers each question.
- To configure opinion multipliers, in Terraformer click the "System Tables" tab on the top navigation bar, then click the "System Parameters” tab on the left navigation bar.
- a screen like that illustrated in FIG. 37 will return.
- the bottom two fields - "no experience” and “experienced” - refer to the user's answer to the first question of whether he/she has experienced the Subject. People who answer “no” receive the no experience multiplier; people who answer “yes” receive the "experienced” multiplier. Using example settings, the opinion of a person who answers “yes” might be counted five times as much as that of a person who answers "no.”
- the top three fields - the opinion multipliers for "slightly qualified, " "somewhat qualified” and “very qualified” - refer to the answer to the second question of how qualified the user feels to rate this Subject. The client may enter a chosen value for each multiplier, then scroll to the bottom of the page and click "Update. "
- FIGS. 38A and 38B showing words to be rated.
- the user rates the Descriptive Words that appear on the page.
- the words that appear here are all of the words that the user checked and/or added on the previous screen. The user may rate some or all of these words.
- This screen is not configurable. The number of words that appear here depends on how many the user checked and added on the previous screen. If a user would like to choose more preselected words, he/she can click the "more words" link, and get a screen showing more words to rate. He/she can rate as many of the words as is desired, and then click "Continue" at the bottom of the page. To add his/her own words, the user clicks the "add additional words" link (from the original keyword-rating page) and gets a box like that illustrated in FIG. 39. After adding words, the user clicks continue and is taken back to the ratings and comments page .
- FIG. 40 illustrates that, finally, a user may leave comments. Adding age and gender is optional; and the Comments field is fixed. Once the user has filled out all the necessary information, he/she will click "submit” and get a preview of the Subject.
- the preview screen is shown by FIGS. 41A and 41B. Once the user has reviewed this preview screen for accuracy, he/she clicks "Approve” if all the information is correct. If changes need to be made, the user clicks "Edit” in the area which needs to be edited. After the incorrect information has been edited, the user is returned to the preview page, and must click "Approve.” It is noted that once the Subject is approved by the user who enters it, it is not immediately viewable by the public.
- the search box illustrated in FIG. 22 and previously discussed is the most prominent element on the home page of the instant system. If a user already has a good idea of what he/she is looking for, then searching by keyword is likely the quickest way to find the desired Subject (s) . The user must type in at least one of the following to perform this type of search:
- a state abbreviation A ZIP code and search radius (from the center of that ZIP code)
- Subjects will likely contain more information than a typical Subject, because the advertiser has had the opportunity to add extra links, photos and text. They also receive priority listing in category searches (not in keyword searches). Preferably a listing of "Best of Best” subjects will be shown the far left column, indicating that a particular Subject has been rated high enough to receive the "Best of Best” distinction. Note: Only Correspondents, preferably, can see the "Best" icon on a search results page.
- This page can be configured by the client, who may decide how many search results come up on each page and also decide how high a Subject must score to be given the "Best of Best” distinction.
- click in Terraformer
- type in the maximum number of total search results that one wants users to be able to retrieve when users perform a search on the site.
- the second field specify the number of search results per page that the client would like the user to see.
- the Subject page is the central building block of the online community. It contains a summary of all information about each Subject: Descriptive Word ratings, comments, price, availability and contact information.
- Descriptive Word ratings are the number of times users have chosen that word to describe the Subject at hand.
- To the right of the number in parentheses is a horizontal bar and boldfaced number indicating the average rating given to each Descriptive Word on a 1-5 scale (1 is "not rated, 5 is "extremely").
- the home page left border also has, as noted, a Member and Correspondent recruitment box, with links to the registration area and a "Spread Word of Mouth" box that links to the "Tell A Friend" page, and also a link that allows users to notify an advertiser about other Subjects he/she might want to add.
- the Subject page is also the springboard by which many users will get involved in the community by adding their opinions about existing Subjects.
- a user instead of searching all of a Web site's Subjects by keyword, a user also has the option of first selecting a category to search.
- a client-specified number of categories appear on the home page: the default categories of the preferred instant system are Accommodations, Community Services, Entertainment, Fitness and Beauty, Learning Opportunities, Restaurants, Shopping, Sightseeing and Attractions, and Sports and Adventure.
- the desired category to search and clicks the link a screen list of subcategories appears like that illustrated by FIG. 44. In parentheses next to each subcategory is the current number of reviews in that subcategory.
- a user must either: a) click a subcategory (e.g., to search only American restaurants) or b) click "All" at the bottom of the page (e.g., to search all restaurants) .
- the user is taken to the screens illustrated by FIGS. 45A and 45B, where the user may further personalize the search.
- Her the user may further refine the search by specifying location.
- the user has two choices for searching by location. He/she must either: a) enter a city, state and country or b) enter a ZIP code and search radius from that ZIP code. Note: When a user requests a search based on ZIP code radius, that radius is calculated from the center of the ZIP code, not the user's home address. Choosing a larger radius, then, will likely bring back more useful results .
- FIG. 46 illustrates the Descriptive Words and/or phrases preselected (by the client) to appear with this category.
- the user may check the boxes that are appropriate to his/her search, or add new words in the box provided.
- the client may configure this and decide the words - and the number of words - that appear here for every subcategory by using the Terraformer screen (as discussed herein) and going to the categories screen and then the subcategories screen.
- Descriptive Words to a subcategory: In the "Descriptive Word” field, type in the word you'd like to add, then click the "Add” button (Make sure the "Select Descriptive Word” dropdown box is blank) .
- the user enters the minimum and maximum amount of money he/she wants to spend on the Subject he/she is searching for. In the final field, the user selects the amount of time he/she has to spend experiencing a Subject.
- These fields are both optional; users need not fill them in if they choose not to. The more information a user enters, the more specific the results.
- search " the software looks for that information in the appropriate fields of the database, and a results screen as previously discussed returns (see FIG. 42 for a sample) .
- the title of each result is linked to its Subject page, and the summary and location info will be listed under that link.
- the right and middle columns list cost, time required and the highest-rated keywords. After clicking on the Subject title that interests him/her, the user is taken to the Subject page (see FIGS. 43A-B for a sample ) .
- FIG. 47 illustrates a box in the lower left hand corner of the Subject page, offering the opportunity to sponsor the Subject.
- a potential advertiser simply clicks "Sponsor now! to begin the process.
- FIGS. 48A and 48B illustrate the screen returned to begin to get the desired information from a Sponsor.
- the sponsor enters the name, address and contact information for both the business itself and the person who will be the administrative contact for the account. These fields are fixed.
- FIGS. 49A-D show the next screens to receive information.
- the Sponsor adds a business logo, email address, Web site URL and links to company Web site. By clicking the "Browse" button, a Sponsor can quickly upload each desired photo straight from their computer.
- the Sponsor can add up to 10 paragraphs of information about the business, each with a customized heading and photograph. Customized headings can be selected from those provided in the drop-down boxes, or a Sponsor may enter its own. By clicking the "Browse” button, it can quickly upload each desired photo straight from it's desktop. These are fixed fields, but the client can configure the preselected choices in the "Use Standard Title” dropdown box.
- in Terraformer select "Domain Tables" on the top navigation bar and "Sponsor Section Headers” from the left navigation bar. A screen like the one illustrated by FIG. 50 will appear. If the client would like to enter a new header to be included in the sponsor's dropdown box, type its name under "New Header” and click "Append. " If the client would like to modify the name of an existing header, click on its name in the box at left. Its name will then appear under "Existing Header.” Edit the name as wished, then click "Update.” After adding the sponsor headings, they'll appear in the box shown in FIG. 50. To change the order of their listing, click on the name of a heading you'd like to move. Then click "Move Up” or “Move Down” until it's in the desired position. Repeat this process with the other headings until the desired order is achieved.
- FIG. 52 illustrates the screen with payment information. After approving how the sponsored Subject will look, the Sponsor enters credit card information and clicks "Purchase Sponsorship.” Once the credit card information is processed, the sponsorship is confirmed by the return of the screen illustrated in FIG. 53 and the process is complete.
- the sponsored Subject which is immediately available to Web site users because it does not require Correspondent approval, looks like the screen shown in FIGS. 54A-B, the first illustration showing the top half of the page, and the second showing the bottom half.
- a sponsored Subject prominently features the Sponsor's customized information and photographs.
- the top paragraph is the Sponsor's summary, with its chosen image. Below the ratings and comments are any other photos and customized paragraphs.
- FIGS. 55A-B illustrate the screen where user's may add their opinions to existing Subjects rating and reviewing. From any Subject page, a registered user can click the "Add Your Rating” or "Add Your Comments” links to reach the Rate and Review page (see FIGS. 55A-B) . Note: This is the same page as page 4 of the Add a Subject process. The process of rating and reviewing an existing Subject follows exactly the same procedure as outlined in Step 4 of the Add a Subject process.
- a screen returns showing that the entry information has been added to MyPage and thanking the user for doing the rating, after which the user may return to the Subject he/she just rated, or use the top navigation bar to go elsewhere on the site.
- a quick way for the user to earn points is to give a subject an overall star rating.
- the overall rating box is located in the top left corner of a Subject page.
- the user simply selects the "star” rating he/she chooses to give, then clicks the "Submit” button. If the user finds inaccurate or outdated information, he/she can immediately suggest an improvement via the "Improve this Subject” box at the bottom left corner of each Subject page. Clicking on that link leads to the page illustrated by FIG. 56.
- the user first reviews the improvements suggested by other users . The user then chooses a priority for his/her change, a reason that the current information and how he/she knows the information needs to be changed ("Basis").
- FIG. 58 shows the My Contributions box.
- My Contributions is a detailed view of a user's activity on the site. The user can click on "Subjects Added” to view a list of all the Subject he/she has added to the site.
- FIG. 63 shows a sample page for "Subjects Awaiting Approval.”
- the left column are the Subjects the user has submitted, and the center column holds more information about each Subject.
- the right column holds more information about each Subject.
- the right column are the date each Subject was submitted, and a link that allows the Correspondent to edit or delete information in their review.
- the final link displays each of the user's Subjects which were submitted for review but rejected by a Correspondent. These links display on a page like that of FIG. 64. This user has no rejected subjects. If a user has rejected Subjects, the title and information of that Subject will appear on the left, the Correspondent's reason for rejection will appear in the center and the date the Subject was submitted will be on the right.
- FIG. 65 illustrates the To Do List screen. Only Correspondents have a To Do list: it is the collection of administrative actions that a Correspondent can do to monitor the site's content and earn the points for doing so.
- the top link "Notify Organizations about Subjects you added, " allows the Correspondent to contact organizations about Subjects they've added that advertisers might want to sponsor.
- the bottom link "Notify organizations for Subjects added,” links to the same process, but for all recently added Subjects in his/her ZIP code - not just the Subjects added by the Correspondent him/herself.
- FIG. 66 is a sample screen for this process. Information about each Subject is displayed in the first, second and third columns. In the right column, the user clicks "Notify” to send email to a potential advertiser. That screen looks like the screen illustrated in FIG. 67. The user types in the required information - only a first name and an email address - for the recipient, and clicks "Submit.” The email is then sent to the advertiser.
- Correspondents not only approve and reject Subjects; they also review and make accuracy improvements to existing Subjects at the request of other users.
- the Correspondent By clicking the "Review Suggested Improvements" link (in or outside of home ZIP code) , the Correspondent begins the process of reviewing improvements on the screen illustrated by FIG. 70.
- the Subject needing improvement is in the left column.
- In the center column are the priority, reason and basis that the user chose for suggesting this improvement, and the right column lists the date the suggestion was entered.
- the Correspondent can review the suggestion on a screen like that of FIGS. 71A-B.
- the Correspondent may: a) approve the suggested improvement; b) reject the suggested improvement;, or c) delete the Subject altogether. After clicking the appropriate button, the process is then finished, and the Correspondent is taken back to the list of suggested improvements that are still waiting for approval.
- the "My Favorite Subjects" box (see FIG. 74, for example) is where users store the best things they've discovered on the site. As a default, each top-level category has a folder inside this box, until the user decides to customize it. In parentheses next to each folder name is a number that indicates how many Subjects are currently in that particular folder. To customize the folders on this page, the user clicks on "manage favorites" and gets a screen listing the name of each current folder is listed, and next to each folder name is a link to either rename or delete the folder (As a default, the initial folders will mirror the first-level categories) . The user nay rename or delete a folder or add a new folder.
- the "My Interests" box is created using the information in a user's profile. Each entry in the box links to Subjects that are likely to interest the user based on his/her stated interests and geographic location. These links will return Subjects of such special interests, e.g., Recently Added Subjects in (user-selected town): All Subjects in (user-selected town) : Best of Best in (user-selected town) .
- the "My Organization" box allows a user to track Subjects that refer to certain businesses and organizations.
- the user has chosen to track Tomaso ' s restaurant; however, there are currently no Subjects on the site that refer to Tomaso ' s . If another user decides to rate, for example, the five-cheese lasagna at Tomaso 's, that Subject will appear in the My Organization box.
- the "My Rewards” box is a user's link to all the points he/she has earned, and the money into which those points translate. By clicking the "Points Earned” link, the user sees a screen like that of FIG. 78. In the left column are listed all actions that a user can perform that will earn points . The second column is the point value per action for each of those actions. The third column is the number of points the user has received by performing that particular action. The fourth column, "Site Average,” is the number of points that the average site user gains per month via the same action. Using this figure, he/she can compare their monthly activity and earnings with other site users.
- the "Goal Achieved" row lists how many points a user is expected to earn during the selected time period, and the adjacent entry indicates whether he/she has attained that goal .
- the “Account Balance” screen appears as shown by FIG. 80.
- Listed on the Account Balance page are the date of each point-earning action, a description of that action, its transaction number and the dollars earned for it. Atop the page is the total Current Account Balance.
- Next to the balance will be a button that says “Cash Out.”
- the user is taken to a screen like that shown in FIG. 81. After filling in the appropriate information, the user clicks "Submit, " and his/her cash-out is processed, and the credit card is credited.
- the client can configure this, and decide the amount of money a user must accumulate before being allowed to cash out, by, in Terraformer, clicking the "System Tables” tab on the top navigation bar, then clicking the “System Parameters” tab on the left navigation bar. Scroll until you reach the "Minimum cash out amount” field. In this field, enter the minimum dollar amount your users must attain before being allowed to cash out. When finished, click "Update" at the bottom of the screen.
- FIG. 82 illustrates the screen for Tell a Friend, the quick way that users can spread word of this system to people they know. This page is always accessible by the green navigation bar at the top of every page. To notify a friend, a user must simply: Type a Subject, then Enter his/her email address and the email address of the recipient (s) , then Type the message and click "Submit”.
- FIG. 83 illustrates the Rate other comments screen. Users can read all the comments left by other users about any Subject. These comments are accessible from any Subject page. If the user finds this comment useful, he/she clicks the "Useful” button; if not, he/she clicks the "Not Useful” button. A user may add a comment by clicking where shown in FIG. 84.
- Correspondents are responsible for meeting their monthly point goal, and for many administrative actions relating to the upkeep of the site.
- Correspondents Approve newly added Subjects, Make accuracy improvements to existing Subjects, Delete inappropriate Subjects, Notify businesses about unsponsored Subjects. [In return for performing these responsibilities, they are compensated for a wider variety of actions than members. They also earn higher point values than Members for performing basic actions on the site.]
- Sponsors - Sponsors are advertisers who have paid to sponsor a Subject (s) . They enjoy all the privileges that Members enjoy. In addition: Privileges
- a client can assign point and values -- customized by role -- for each action, including: Adding a Subject in home ZIP code Adding a Subject outside home ZIP code Suggesting Improvements and Deletions Giving a Subject an overall rating Adding Comments Rating Descriptive Words Telling a friend recruiting Correspondents No Action Required
- Point Value and Dollar Value In the appropriate field, type in the point and dollar value the client wishes to assign to this action. When finished, click the "Update" button at the bottom of the page. The client may then choose another user type and/or action from the top menus and repeat the process until all actions have been assigned for each user type.
- Assigning a dollar value to points is one way of rewarding users; another way is to award them one entry in special contests for every specified amount of points they earn.
- the client may configuring contests as follows. In Terraformer, click the "System Tables" tab on the top navigation bar and the "Contests" tab on the left navigation bar. Then the screen like that of FIG. 86 will appear. If the client is setting up a new contest: the existing contests will be listed in the top dropdown box, "Select Contest Description.
- the next field is "Contest Description. " In this field, enter a name for the contest. In the “Contest Notes” field, enter any notes you'd like to associate with this contest (for internal use only) . In the “Entries Awarded” field, specify how many will be awarded your users per number of points achieved (specify that number of points in the next field). Example: If the client would like to give one entry per 1,000 points, enter the number "1" in this field. In the "Points Awarded” field, enter how many points are required of users to accumulate before being awarded a contest entry. Example: If the client would like to award an entry per 1,000 points, enter the number "1000" in this field.
- FIG. 87 illustrates the screen to add a new category.
- To add a new category type its name in the "New Category” box.
- Type an explanation (for internal use) in the "Explanation” box.
- Click “Append.” After that, the new category will appear in the listing.
- To make a category visible or invisible on the home page, or to edit the title of an existing category, or to edit the explanation of an existing category click on that category in the category listing box. Its title and description will then appear in the "Existing Category" section at the bottom of the page.
- the client may, in
- Subcategories button at right. To add a new subcategory, type its name in the "New Category” box, and type an explanation of the subcategory (for your internal use) in the
- the client may associate Descriptive Words with categories and subcategories. Why use this feature? To create a very fluid user experience for your visitors . Pre-defining words that are pertinent to each category and subcategory provides a ready-made set of relevant criteria by which users can add and rate Subjects quickly and easily.
- Descriptive Words might be: rocky, trail condition, scenery, danger, congestion, difficulty, wildlife, etc.
- the client may also configure associations for categories, subcategories and words.
- the client may determine how many Descriptive Words a user must choose when adding a Subject. Why use this feature? To ensure that requirements match the audience. Example: If the audience is highly educated, one may feel safe in requiring them to enter more words. If the audience is less educated, has a shorter attention span or has very little time, requiring fewer words is a better option.
- preselected words in Terraformer in the appropriate field. In this field, type the minimum number of preselected words you want to appear when a user is adding a Subject. When finished, click "Update" at the bottom of the page.
- FIG. 89 illustrates a similar screen from Terraformer. If adding a new country, type its name in the "Country Name” field and click "Add.” If editing the name of an existing country, the "Add” button will say “Edit” instead. Select the country name one wants to edit from the "Select Country Name” dropdown box, after which the text will appear in the "Country Name” field. Edit the text to specifications, then click "Edit.”
- the client will normally wish to recruit, reward and recognize users.
- the instant system provides a complete system to recruit, reward and recognize outstanding members of a vibrant online community.
- the configurable variables that follow put the power of customization in the client's hands .
- One may limit the number of men and women per ZIP code as strictly as one likes, or not at all.
- the client will use the Terraformer screen of Accounting Actions to assign point and dollar values per action (customized by membership type (Member, Correspondent, Sponsor) , including: Adding a Subject in home ZIP code, Adding a Subject outside home ZIP code, Adding a Comment, Suggesting Improvements and Deletions, Rating others' Comments, Giving a Subject an overall rating (1 to 5 stars) , Rating Descriptive Words, Telling a friend, recruiting Correspondents, including in areas where no user action is required: Points awarded when Member's Subject or Comments are read by another user, Points awarded when another user adds a Subject in Member's ZIP code, Approving a Subject for publication (Correspondents only) , Maintaining a Subject (fixing outdated/wrong information) (Correspondents only) , Notifying a potential sponsor about an unsponsored Subject (Correspondents only), Monthly bonus programs.
- point and dollar values per action customized by membership type (Member, Correspondent, Sponsor) , including: Adding
- the client may determine how many points a correspondent must score during a specified time period to remain in good standing to make sure that the people rewarded for building and maintaining the online community are holding up their end of the bargain. If a correspondent isn't meeting the minimum activity standards set, it's likely that another correspondent-in-waiting will do so.
- the client may determine minimum dollar amount users must accumulate before being allowed to cash out to cut down on the resources required to accommodate payouts . The higher the dollar amount a user must attain before being paid, the fewer requests for payment.
- in Terraformer In the appropriate field, enter the minimum dollar amount users must attain before being allowed to cash out. When finished, click "Update" at the bottom of the screen.
- the client may add "bonus points” to certain categories to further target areas of the site that require further development.
- To configure bonus points in Terraformer, select "Domain Tables" on the top navigation bar and "Bonus Points" from the left navigation bar . A screen like that shown by FIG. 91 will appear.
- To add a bonus type a title for the bonus into the "Bonus Description" field. From the "Primary Category” dropdown box, select the category that is most appropriate for this bonus .
- the client may create point goals and opinion multipliers for each user type to give proper incentive to each member type.
- To configure point goals and opinion multipliers in Terraformer, select "Domain Tables" on the top navigation bar and "User Types” from the left navigation bar. A screen like that of FIG. 92 will appear. From the "Select User Type Description" dropdown box at the top of the page, select the user type for whom one would like to determine a monthly point goal and opinion multiplier. In the "Opinion Multiplier" field, enter the appropriate weighting for the selected user type.
- the client may create rewards for each user type to allow each member type a chance to earn rewards.
- This feature allows you to designate a reward for each user type: e.g., Top 10 Correspondents, Top 10 Members, etc.
- the client may allocate a percentage of sponsorship revenue to user rewards; this is an easy way to automatically allocate a pool of money for user rewards. This is an alternative to setting aside a specific dollar amount for the same purpose.
- the client may decide the number or percentage of users that may share in special rewards to configure the distribution of rewards.
- a high-volume site may choose to reward by percentage (e.g., the most active 5 percent of users). This works because every month, the instant system's software runs an automated process that identifies the top contributors - by percentage or real number - and generates a list of them.
- the client may configure this in Terraformer in the appropriate screen in the "Top N Count Value” field, by entering the number (N) of top contributors that will share in special rewards for the site: e.g., 100 for Top 100, 50 for Top 50, etc., or in the "Top N Percent Value” field, enter the percentage of top contributors that will share in special rewards: e.g., 10 for top 10 percent; 50 for top 50 percent, etc.
- the clients may set up and configure contests.
- An automated process sifts through the entries (on demand) and determines a winner (s) .
- the client may select as many winners as is desired.
- the client may configure audience communication. Creating predefined questions and topics for users enables them to more easily communicate with the site about what they like and dislike about the site.
- the instant system allows the client to define preselected feedback Subjects to help speed and simplify the user's process for communicating.
- To configure feedback Subjects, in Terraformer select "Domain Tables" on the top navigation bar and "Feedback Subjects" from the left navigation bar. A screen like that shown in FIG. 93 will appear.
- the client may define questions to ask prospective correspondents. Different sites will want different qualities from their correspondents. The client defines what questions correspondents must answer and the possible responses, and decide how they must score in order to meet client standards. These are, as discussed, configured in Terraformer. Similarly, the client may configure Correspondent Answers and create decline reasons -- predefined reasons for a user to decline the client's offer to become a correspondent or a member
- the instant system helps generate revenue by offering advertisers a completely automated way to appear on the site.
- the instant technology enables advertisers to create and enhance a fully detailed page for their business, and here's how the client can help: by creating predefined section headers for sponsor pages to make it faster and easier for sponsors to create their own customized pages, and thereby make it easier to sell sponsorships.
- section headers could include: Our Menu, Our Facilities, Our Customers, Our Hours, Our Specialties, Our Products, Our Employees, Our Coupons, Our Weekly Specials, etc. Section may be configured in Terraformer in the appropriate screen.
- the client may configure/display address and phone of unsponsored Subjects to give businesses incentive to sponsor Subjects. And the client may determine setup and sponsorship fees . Reasonable fees for sponsorship depend on a number of factors: market size, competition, saturation, etc. Each site can tailor these rates to their own business situation.
- To configure sponsorship fees in Terraformer, click the "System Tables" tab on the top navigation bar and the "Sponsorship Parameters" tab on the left navigation bar. A screen like that of FIG. 94 appears. These three fields determine sponsorship pricing.
- the top field is the initial sponsorship fee.
- the second field is the fee for the first month of sponsorship, and the third field is the fee for each subsequent month. Enter the amount in each of the fields that one wants to charge for sponsorships, then click "Update.”
- management reports are also available to clients: Member Counts, Member Demographics, Member Rewards Pool Status, Contributions by Members, Correspondents Counts, Regions, Demographics, Performances, Content Reports, Sponsor Reports, Feedback Reports, etc.
- Correspondent If there are no openings in a potential Correspondent's ZIP code, he/she immediately becomes a Member, and his/her name is added to a Correspondent waiting list.
- the process sends the Member an email inviting him/her to become a Correspondent. It does invitation cleanup.
- the process looks at all the correspondent invitations that have not been answered by a certain (client-specified) period of time, and deletes them. It does User purge. This process looks at the usage patterns of all registered users and deletes the ones who have not returned to your site in the client-specified amount of time. It does Correspondent missed goals .
- this process evaluates each registered user's goals, awards points and sends an email reminder to those users who did not reach their goals. It does Demotion. This process finds users who have not met their performance goals for consecutive months, and demotes them. Note: A client may choose to de-activate this option and elect not to demote users .
- the automatic process also does Average accounting points. This process reviews all user activity from the past month and generates an average number of points per action per user type.
- this process identifies the top performers that will share in special awards for the given month. It does Correspondent, Member and Sponsor reports. This process generates regular emails (at client-selected intervals) to each member type in order to recruit, manage and motivate. Emails will contain a link back to the Web site or MyPage. It does Correspondent recruitment bonuses. This process finds all the new registered users who were recommended by another user, and accepted as a correspondent. Reward bonus points are given to the referrers upon acceptance. It does National pool flags. This process ensures that Subjects added by members are approved by correspondents in a timely fashion.
- This process removes comments that are beyond a certain age (e.g., 30 days, 6 months, etc.). It does Real-time Subject-page views. The process adds up all Subject-page views over a given time period. It does Real-time information requests. This process counts the number of times that user have clicked "get more information" about a Subject. Why use this feature? To sway potential advertisers toward a sponsorship. A potential advertiser may be more likely to sponsor a Subjects if she knows that dozens of your Web site users were looking for information about her business. It does Batch reporting. This process reports a summary of the processes that ran on the previous day.
- the instant system includes a Survey tool that allows a user to create a survey for any audience in just three easy steps. .It also allows many customized options. Using a this survey tool, the user can determine:
- FIGS. 95A-B show an example survey of the type generated by the Survey tool. Note that it features word/term/item ratings similarly to the instant above-described system.
- To create a survey from the Surveys home page, click a "Learn more" link in the center at such home page to get to a page with a short introduction that describes the process of creating a survey.
- the user When the user is finished, he/she clicks the "Create a Survey" button at the bottom of the page and gets a page returned like that shown in FIG. 96A-B.
- the user fills out the four pictured fields: Survey Title, Offered by (the survey's author), Survey Topic and Survey Elements .
- the author types the question or statement to which the participants will respond.
- the author types the items that the participants will rate.
- Each of the elements has a "required” checkbox next to it. If the author would like to require each user to rate a particular element, the "required” box should be checked. If the author will allow participants not to rate certain elements, the "required” box should remain unchecked for those elements.
- the author decides whether to allow the participant to leave a written comment after taking the survey. If so, the author checks the "Collect Comments" box. If not, the box is left blank. If the author chooses to collect comments, those comments will only be viewable by the author him/herself (not survey participants). Date Options: In these fields, the author determines the start and end date of the survey. Participants will be permitted to take the survey between those dates only.
- FIGS. 98A-B illustrate the bottom half of the Step 2 page:
- the author may choose "Anonymous” or "Require Email address.” If the author doesn't care who responds to the survey and how many times a person responds, he/she clicks "Anonymous.” If the author would like to control who and how many times a user responds, "Require Email Address" must be selected.
- Results are available to anyone at any time Results are available to anyone after the survey ends Results are always available to anyone who has participated in the survey
- Comment Heading This is the title that will display above the Comments box.
- the survey can be created. If the author is a registered user and logged in, he/she will be taken right to the "Congratulations" page as illustrated by FIG. 101. If the author is creating his/her first survey and is not yet a registered user - or if the author is a repeat user and simply has not logged in - he/she will receiving a prompt to register/log in.
- the first URL is "Your Unique Survey URL.” This is the URL that the author sends to participants so they can take the survey, and uses to link the survey from any Web page.
- the second URL is the "Your Unique Results URL.” This is the URL that holds the current results to the survey. If the survey is no longer open (if the end date has passed) , the final results can be found at this URL.
- the unique results URL is a link to the Survey Management Center - the area where the author can review and manage this survey. Here may be found a summary of the Survey: its title, author, topic, elements, Survey URL and Results URL. To make changes to any of the text, the author clicks the "Edit" link to the right of the survey title and gets a page where the author can change the Survey title, author name, topic and elements. Elements can also be deleted from this screen, and the "required" status for each element can be changed.
- the author Scrolls to the bottom of the page and clicks the "Next" button and returns to the Survey Management Center page, which contains all the current settings for a survey, and links to areas where those settings may be viewed and changed.
- the author can click the View Comments link to see a list of all the comments participants have left.
- three other links under “Actions” - "Refresh Count,” "Close Survey” and “Delete Survey” - are ways that the author can update the Survey. "Refresh Count” collects the most recent results of the Survey. "Close Survey” closes it, and "Delete Survey” deletes the survey.
- the author may preferably use additional provided screens to do custom editing, etc.
- an author may, at some point, wish to make changes to his/her account and billing information and view the history of the account. He/she may do so using the User Profile Manager. Clicking the "User Profile" link in the green navigation bar at the top of any page, the user is taken to a page showing the author ' s current account information: username, account number, email address, physical address, phone number and credit card information. To change anything under the Account Information heading, the author simply clicks "edit" modes at appropriate headings . text at the right of that heading.
- the main Survey Management Center page preferably has a "User Account History" link that takes the author to a page with detailed information about all surveys the author has performed, in addition to the billing information associated with them.
- An example of the User Account History page is shown by FIG. 102.
- the Account History page shows each Survey created by the author, the charges for each and a description of those charges . It also shows the date and time each survey was created, the credit card each to which each survey was charged, and the reference and authorization numbers for each.
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Library & Information Science (AREA)
- Computational Linguistics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Information Transfer Between Computers (AREA)
Abstract
Description
Claims
Priority Applications (5)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
AU3689901A AU3689901A (en) | 2000-02-10 | 2001-02-10 | System for creating and maintaining a database of information utilizing user opinions |
CA002399641A CA2399641A1 (en) | 2000-02-10 | 2001-02-10 | System for creating and maintaining a database of information utilizing user opinions |
AU2001236899A AU2001236899B2 (en) | 2000-02-10 | 2001-02-10 | System for creating and maintaining a database of information utilizing user opinions |
NZ520663A NZ520663A (en) | 2000-02-10 | 2001-02-10 | System for creating and maintaining a database of information utilizing user defined keyword relevance ratings |
EP01909114A EP1272942A4 (en) | 2000-02-10 | 2001-02-10 | System for creating and maintaining a database of information utilizing user opinions |
Applications Claiming Priority (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US18163200P | 2000-02-10 | 2000-02-10 | |
US60/181,632 | 2000-02-10 | ||
US09/782,873 | 2001-02-10 | ||
US09/782,873 US7143089B2 (en) | 2000-02-10 | 2001-02-10 | System for creating and maintaining a database of information utilizing user opinions |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2001059625A1 true WO2001059625A1 (en) | 2001-08-16 |
Family
ID=26877363
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/US2001/004408 WO2001059625A1 (en) | 2000-02-10 | 2001-02-10 | System for creating and maintaining a database of information utilizing user opinions |
Country Status (6)
Country | Link |
---|---|
US (3) | US7143089B2 (en) |
EP (1) | EP1272942A4 (en) |
AU (2) | AU2001236899B2 (en) |
CA (1) | CA2399641A1 (en) |
NZ (1) | NZ520663A (en) |
WO (1) | WO2001059625A1 (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1546842A2 (en) * | 2002-07-24 | 2005-06-29 | Involve Technology, Inc. | A system for creating and maintaining a database of information utilizing user opinions |
WO2009095746A1 (en) * | 2008-01-29 | 2009-08-06 | Alterbuzz | Method to search for a user generated content web page |
Families Citing this family (387)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7031952B1 (en) * | 1999-10-08 | 2006-04-18 | Knowledge Filter, Inc. | Knowledge filter |
US20070219995A1 (en) * | 1999-10-08 | 2007-09-20 | Knowledge Filter | Knowledge filter |
US20080133417A1 (en) * | 1999-10-18 | 2008-06-05 | Emergent Music Llc | System to determine quality through reselling of items |
US8290809B1 (en) * | 2000-02-14 | 2012-10-16 | Ebay Inc. | Determining a community rating for a user using feedback ratings of related users in an electronic environment |
US9614934B2 (en) | 2000-02-29 | 2017-04-04 | Paypal, Inc. | Methods and systems for harvesting comments regarding users on a network-based facility |
US7428505B1 (en) | 2000-02-29 | 2008-09-23 | Ebay, Inc. | Method and system for harvesting feedback and comments regarding multiple items from users of a network-based transaction facility |
US20090216641A1 (en) | 2000-03-30 | 2009-08-27 | Niration Network Group, L.L.C. | Methods and Systems for Indexing Content |
US8010703B2 (en) | 2000-03-30 | 2011-08-30 | Prashtama Wireless Llc | Data conversion services and associated distributed processing system |
USRE42153E1 (en) | 2000-03-30 | 2011-02-15 | Hubbard Edward A | Dynamic coordination and control of network connected devices for large-scale network site testing and associated architectures |
US20010039497A1 (en) | 2000-03-30 | 2001-11-08 | Hubbard Edward A. | System and method for monitizing network connected user bases utilizing distributed processing systems |
US7962359B2 (en) * | 2000-04-06 | 2011-06-14 | Autopoll, Inc. | Method and system for collecting and disseminating survey data over the internet |
EP1156424A2 (en) * | 2000-05-17 | 2001-11-21 | Matsushita Electric Industrial Co., Ltd. | Information recommendation apparatus and information recommendation system |
KR100656150B1 (en) * | 2000-06-09 | 2006-12-12 | 안종선 | Automatic community generation system and method |
US20060074727A1 (en) | 2000-09-07 | 2006-04-06 | Briere Daniel D | Method and apparatus for collection and dissemination of information over a computer network |
US9704128B2 (en) * | 2000-09-12 | 2017-07-11 | Sri International | Method and apparatus for iterative computer-mediated collaborative synthesis and analysis |
US20050033807A1 (en) * | 2003-06-23 | 2005-02-10 | Lowrance John D. | Method and apparatus for facilitating computer-supported collaborative work sessions |
US8438054B2 (en) * | 2000-09-12 | 2013-05-07 | Sri International | Apparatus and methods for generating and accessing arguments |
US7844489B2 (en) * | 2000-10-30 | 2010-11-30 | Buyerleverage | Buyer-driven targeting of purchasing entities |
US20030158776A1 (en) * | 2000-10-30 | 2003-08-21 | Mark Landesmann | Buyer-driven targeting of purchasing entities |
US7013308B1 (en) | 2000-11-28 | 2006-03-14 | Semscript Ltd. | Knowledge storage and retrieval system and method |
US20020078152A1 (en) | 2000-12-19 | 2002-06-20 | Barry Boone | Method and apparatus for providing predefined feedback |
US20020138844A1 (en) * | 2001-02-13 | 2002-09-26 | Rick Otenasek | Video-on-demand web portal |
KR20030094261A (en) * | 2001-03-08 | 2003-12-11 | 인터내셔널 비지네스 머신즈 코포레이션 | System and Method For Personalized Presentation Of Web Pages |
US20020174132A1 (en) * | 2001-05-04 | 2002-11-21 | Allresearch, Inc. | Method and system for detecting unauthorized trademark use on the internet |
DE10154656A1 (en) | 2001-05-10 | 2002-11-21 | Ibm | Computer based method for suggesting articles to individual users grouped with other similar users for marketing and sales persons with user groups determined using dynamically calculated similarity factors |
US7930352B2 (en) * | 2001-06-25 | 2011-04-19 | At&T Intellectual Property Ii, L.P. | System and method for sorting electronic communications |
US7133898B1 (en) * | 2001-06-25 | 2006-11-07 | Bellsouth Intellectual Property Corp. | System and method for sorting e-mail using a vendor registration code and a vendor registration purpose code previously assigned by a recipient |
US6957259B1 (en) | 2001-06-25 | 2005-10-18 | Bellsouth Intellectual Property Corporation | System and method for regulating emails by maintaining, updating and comparing the profile information for the email source to the target email statistics |
US20030036947A1 (en) * | 2001-08-20 | 2003-02-20 | Ncr Corporation | Systems and methods for submission, development and evaluation of ideas in an organization |
US20030046144A1 (en) * | 2001-08-28 | 2003-03-06 | International Business Machines Corporation | System and method for anonymous message forwarding and anonymous voting |
US7594176B1 (en) * | 2001-09-05 | 2009-09-22 | Intuit Inc. | Automated retrieval, evaluation, and presentation of context-sensitive user support |
JP2003085092A (en) * | 2001-09-13 | 2003-03-20 | Fujitsu Ltd | Information evaluation device, terminal, and program |
US8032442B2 (en) * | 2001-09-27 | 2011-10-04 | Stubhub, Inc. | System and method for providing logistics for a sale of goods |
EP1438689A2 (en) * | 2001-09-28 | 2004-07-21 | Accenture Global Services GmbH | Collaborative portal system for business launch centers and other environments |
AU2002342082A1 (en) * | 2001-10-18 | 2003-04-28 | Transpose, Llc | System and method for measuring rating reliability through rater prescience |
US7246086B2 (en) * | 2001-10-26 | 2007-07-17 | Matsushita Electric Industrial Co., Ltd. | Product information management device |
US7676507B2 (en) * | 2002-01-11 | 2010-03-09 | Enrico Maim | Methods and systems for searching and associating information resources such as web pages |
US20030182391A1 (en) * | 2002-03-19 | 2003-09-25 | Mike Leber | Internet based personal information manager |
US7844610B2 (en) * | 2003-12-12 | 2010-11-30 | Google Inc. | Delegated authority evaluation system |
US8069175B2 (en) | 2002-04-10 | 2011-11-29 | Google Inc. | Delegating authority to evaluate content |
US20030225614A1 (en) * | 2002-05-30 | 2003-12-04 | International Business Machines Corporation | World wide web document distribution system with compensation for document providers and for document receiving users for distribution costs by users permitting providers to track the users' document access activities on the web |
US8874503B2 (en) * | 2002-07-15 | 2014-10-28 | Jmw Productivity, Llc | Method, system and apparatus for organizing information for managing life affairs |
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 |
US20040172279A1 (en) * | 2002-08-22 | 2004-09-02 | Ncommon Partners Lp | System and method for objectively managing complex familial interactions and responsibilities |
US20040098409A1 (en) * | 2002-11-15 | 2004-05-20 | Kelleher Kelly J. | Adaptable screening system and method |
US20040107134A1 (en) * | 2002-12-02 | 2004-06-03 | Nelson Jeff A. | Reward based health care compensation system and method |
AU2003297193A1 (en) | 2002-12-13 | 2004-07-09 | Applied Minds, Inc. | Meta-web |
US7778999B1 (en) * | 2003-01-24 | 2010-08-17 | Bsecure Technologies, Inc. | Systems and methods for multi-layered packet filtering and remote management of network devices |
US20040166798A1 (en) * | 2003-02-25 | 2004-08-26 | Shusman Chad W. | Method and apparatus for generating an interactive radio program |
US20040177138A1 (en) * | 2003-03-05 | 2004-09-09 | Mathias Salle | Method and system for processing user feedback received from a user of a website |
US20040193591A1 (en) * | 2003-03-27 | 2004-09-30 | Winter Robert William | Searching content information based on standardized categories and selectable categorizers |
US20040243852A1 (en) | 2003-05-28 | 2004-12-02 | Rosenstein Adam H. | Method, system and software for state signing of internet resources |
US7761386B2 (en) * | 2003-06-15 | 2010-07-20 | Mordechai Teicher | Method and apparatus for arranging social meetings |
US8090602B2 (en) | 2003-06-15 | 2012-01-03 | Mordechai Teicher | Method and apparatus for leisure and entertainment merchandising |
US7305398B2 (en) * | 2003-06-15 | 2007-12-04 | Mordechai Teicher | Apparatus and method for managing social games |
US7246106B2 (en) * | 2003-07-02 | 2007-07-17 | Red Paper Llc | System and method for distributing electronic information |
US7599938B1 (en) * | 2003-07-11 | 2009-10-06 | Harrison Jr Shelton E | Social news gathering, prioritizing, tagging, searching, and syndication method |
US20050027576A1 (en) * | 2003-07-31 | 2005-02-03 | Matthew Klipstein | Method and system for cooperative research and for compensation distribution |
US8554601B1 (en) | 2003-08-22 | 2013-10-08 | Amazon Technologies, Inc. | Managing content based on reputation |
US8200477B2 (en) * | 2003-10-22 | 2012-06-12 | International Business Machines Corporation | Method and system for extracting opinions from text documents |
US20050108086A1 (en) * | 2003-11-14 | 2005-05-19 | Kosman Gary L. | System that provides service to monitor, evaluate, train and support human resources |
US8600920B2 (en) | 2003-11-28 | 2013-12-03 | World Assets Consulting Ag, Llc | Affinity propagation in adaptive network-based systems |
USRE45770E1 (en) | 2003-11-28 | 2015-10-20 | World Assets Consulting Ag, Llc | Adaptive recommendation explanations |
US8566263B2 (en) | 2003-11-28 | 2013-10-22 | World Assets Consulting Ag, Llc | Adaptive computer-based personalities |
US7526458B2 (en) | 2003-11-28 | 2009-04-28 | Manyworlds, Inc. | Adaptive recommendations systems |
US7526459B2 (en) | 2003-11-28 | 2009-04-28 | Manyworlds, Inc. | Adaptive social and process network systems |
US7539652B2 (en) | 2003-11-28 | 2009-05-26 | Manyworlds, Inc. | Adaptive self-modifying and recombinant systems |
US20090018918A1 (en) | 2004-11-04 | 2009-01-15 | Manyworlds Inc. | Influence-based Social Network Advertising |
US12093983B2 (en) | 2003-11-28 | 2024-09-17 | World Assets Consulting Ag, Llc | Adaptive and recursive system and method |
US7606772B2 (en) | 2003-11-28 | 2009-10-20 | Manyworlds, Inc. | Adaptive social computing methods |
US20050131837A1 (en) | 2003-12-15 | 2005-06-16 | Sanctis Jeanne D. | Method, system and program product for communicating e-commerce content over-the-air to mobile devices |
US8527589B2 (en) * | 2003-12-15 | 2013-09-03 | International Business Machines Corporation | Community enrollment modeling |
US20050165706A1 (en) * | 2003-12-29 | 2005-07-28 | Daniela Giacchetti | Beauty-related diagnostic methods and systems |
US7269590B2 (en) * | 2004-01-29 | 2007-09-11 | Yahoo! Inc. | Method and system for customizing views of information associated with a social network user |
US7890996B1 (en) | 2004-02-18 | 2011-02-15 | Teros, Inc. | Using statistical analysis to generate exception rules that allow legitimate messages to pass through application proxies and gateways |
US7774834B1 (en) | 2004-02-18 | 2010-08-10 | Citrix Systems, Inc. | Rule generalization for web application entry point modeling |
US7440934B2 (en) * | 2004-04-28 | 2008-10-21 | Kuelzow Christopher J | Method and system for decomposing and categorizing organizational information |
US7383568B1 (en) * | 2004-05-05 | 2008-06-03 | Symantec Corporation | Security management administration system and method |
US7689452B2 (en) * | 2004-05-17 | 2010-03-30 | Lam Chuck P | System and method for utilizing social networks for collaborative filtering |
WO2005116852A2 (en) * | 2004-05-20 | 2005-12-08 | Manyworlds, Inc. | Adaptive recombinant processes |
US8370269B2 (en) * | 2004-06-02 | 2013-02-05 | Overstock.Com, Inc. | System and methods for electronic commerce using personal and business networks |
US7813917B2 (en) * | 2004-06-22 | 2010-10-12 | Gary Stephen Shuster | Candidate matching using algorithmic analysis of candidate-authored narrative information |
US20060019230A1 (en) * | 2004-07-23 | 2006-01-26 | Darlene Ghanem | Method for collecting and organizing information for use in writing a book |
US7463792B2 (en) * | 2004-08-17 | 2008-12-09 | Peterschmidt Eric T | System and method of archiving family history |
US7321889B2 (en) * | 2004-09-10 | 2008-01-22 | Suggestica, Inc. | Authoring and managing personalized searchable link collections |
US20060078868A1 (en) * | 2004-10-13 | 2006-04-13 | International Business Machines Corporation | Method and system for identifying barriers and gaps to E-learning attraction |
JP4148522B2 (en) * | 2004-11-19 | 2008-09-10 | インターナショナル・ビジネス・マシーンズ・コーポレーション | Expression detection system, expression detection method, and program |
US20060143066A1 (en) * | 2004-12-23 | 2006-06-29 | Hermann Calabria | Vendor-driven, social-network enabled review syndication system |
US7657458B2 (en) * | 2004-12-23 | 2010-02-02 | Diamond Review, Inc. | Vendor-driven, social-network enabled review collection system and method |
US7409362B2 (en) * | 2004-12-23 | 2008-08-05 | Diamond Review, Inc. | Vendor-driven, social-network enabled review system and method with flexible syndication |
US9760629B1 (en) | 2004-12-29 | 2017-09-12 | Google Inc. | Systems and methods for implementing a news round table |
US8112310B1 (en) | 2005-01-21 | 2012-02-07 | A9.Com, Inc. | Internet advertising system that provides ratings-based incentives to advertisers |
US20060174248A1 (en) * | 2005-02-03 | 2006-08-03 | Zeidman Robert M | Software tool for automatically protecting shared resources within software source code |
US7603343B2 (en) * | 2005-02-04 | 2009-10-13 | Microsoft Corporation | Quality of web search results using a game |
JP2006235717A (en) * | 2005-02-22 | 2006-09-07 | Sony Corp | Content transferring method, its device and program |
US7818350B2 (en) | 2005-02-28 | 2010-10-19 | Yahoo! Inc. | System and method for creating a collaborative playlist |
US7788087B2 (en) * | 2005-03-01 | 2010-08-31 | Microsoft Corporation | System for processing sentiment-bearing text |
US7788086B2 (en) * | 2005-03-01 | 2010-08-31 | Microsoft Corporation | Method and apparatus for processing sentiment-bearing text |
US8225083B2 (en) * | 2005-03-09 | 2012-07-17 | Vudu, Inc. | Secured seeding of data in a distributed environment |
US7797440B2 (en) * | 2005-03-09 | 2010-09-14 | Vudu, Inc. | Method and system for managing objects distributed in a network |
US8887224B2 (en) | 2005-03-09 | 2014-11-11 | Vudu, Inc. | Updating content libraries by transmitting release data |
US7627888B2 (en) * | 2005-03-09 | 2009-12-01 | Vudu, Inc. | Method and system for keeping a library of titles updated |
US20090031424A1 (en) * | 2005-03-09 | 2009-01-29 | Vvond, Inc. | Incomplete data in a distributed environment |
US20070043583A1 (en) * | 2005-03-11 | 2007-02-22 | The Arizona Board Of Regents On Behalf Of Arizona State University | Reward driven online system utilizing user-generated tags as a bridge to suggested links |
US10210159B2 (en) * | 2005-04-21 | 2019-02-19 | Oath Inc. | Media object metadata association and ranking |
US10740722B2 (en) * | 2005-04-25 | 2020-08-11 | Skyword Inc. | User-driven media system in a computer network |
US10510043B2 (en) * | 2005-06-13 | 2019-12-17 | Skyword Inc. | Computer method and apparatus for targeting advertising |
US11210632B2 (en) | 2005-06-13 | 2021-12-28 | Rakuten Group, Inc. | Computer method and apparatus for targeting advertising |
US20070022098A1 (en) * | 2005-07-25 | 2007-01-25 | Dale Malik | Systems and methods for automatically updating annotations and marked content of an information search |
US8666928B2 (en) * | 2005-08-01 | 2014-03-04 | Evi Technologies Limited | Knowledge repository |
US8521763B1 (en) | 2005-09-09 | 2013-08-27 | Minnesota Public Radio | Computer-based system and method for processing data for a journalism organization |
US7979340B2 (en) | 2005-09-21 | 2011-07-12 | Overstock.Com, Inc. | System, program product, and methods for online image handling |
US8843481B1 (en) * | 2005-09-30 | 2014-09-23 | Yongyong Xu | System and method of forming action based virtual communities and related search mechanisms |
US20070078833A1 (en) * | 2005-10-03 | 2007-04-05 | Powerreviews, Inc. | System for obtaining reviews using selections created by user base |
US20070162544A1 (en) * | 2005-10-03 | 2007-07-12 | Steven Rosenbaum | Method of and a system for accepting user-created content on a computer network site |
US7343447B2 (en) * | 2005-11-08 | 2008-03-11 | International Business Machines Corporation | Method and system for synchronizing direct access storage volumes |
US7620651B2 (en) * | 2005-11-15 | 2009-11-17 | Powerreviews, Inc. | System for dynamic product summary based on consumer-contributed keywords |
US7716472B2 (en) | 2005-12-29 | 2010-05-11 | Bsecure Technologies, Inc. | Method and system for transparent bridging and bi-directional management of network data |
US7657522B1 (en) | 2006-01-12 | 2010-02-02 | Recommind, Inc. | System and method for providing information navigation and filtration |
US7747631B1 (en) | 2006-01-12 | 2010-06-29 | Recommind, Inc. | System and method for establishing relevance of objects in an enterprise system |
JP4992243B2 (en) * | 2006-01-31 | 2012-08-08 | 富士通株式会社 | Information element processing program, information element processing method, and information element processing apparatus |
US7693898B2 (en) * | 2006-02-02 | 2010-04-06 | Fish Robert D | Information registry |
US20090187471A1 (en) * | 2006-02-08 | 2009-07-23 | George Ramsay Beaton | Method and system for evaluating one or more attributes of an organization |
JP4870448B2 (en) * | 2006-02-23 | 2012-02-08 | 株式会社日立製作所 | Information processing apparatus, customer needs analysis method, and program |
US10216733B2 (en) * | 2006-04-14 | 2019-02-26 | Gregg S. Homer | Smart commenting software |
WO2007140271A2 (en) * | 2006-05-24 | 2007-12-06 | Crowd Technologies, Inc. | Online community-based vote security performance predictor |
US7792841B2 (en) * | 2006-05-30 | 2010-09-07 | Microsoft Corporation | Extraction and summarization of sentiment information |
US8402357B1 (en) * | 2006-06-15 | 2013-03-19 | Michael R. Norwood | System and method for facilitating posting of public and private user comments at a web site |
US20150033112A1 (en) * | 2006-06-15 | 2015-01-29 | Social Commenting, Llc | System and method for tagging content in a digital media display |
US8255383B2 (en) * | 2006-07-14 | 2012-08-28 | Chacha Search, Inc | Method and system for qualifying keywords in query strings |
US7792967B2 (en) | 2006-07-14 | 2010-09-07 | Chacha Search, Inc. | Method and system for sharing and accessing resources |
US20080052147A1 (en) * | 2006-07-18 | 2008-02-28 | Eran Reshef | System and method for influencing public opinion |
JP4768537B2 (en) * | 2006-07-18 | 2011-09-07 | 株式会社リコー | Content browsing system and program |
ITTO20060534A1 (en) * | 2006-07-20 | 2008-01-21 | Si Sv El S P A | AUTOMATIC MANAGEMENT OF DIGITAL ARCHIVES IN PARTICULAR OF AUDIO AND / OR VIDEO FILES |
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 |
US20080033918A1 (en) * | 2006-08-02 | 2008-02-07 | Wilson Jeffrey L | Systems, methods and computer program products for supplemental data communication and utilization |
WO2008019369A2 (en) * | 2006-08-07 | 2008-02-14 | Chacha Search, Inc. | Method, system, and computer program product for multi-level marketing |
US8024308B2 (en) * | 2006-08-07 | 2011-09-20 | Chacha Search, Inc | Electronic previous search results log |
DE102006038497A1 (en) * | 2006-08-17 | 2008-02-21 | Epcos Ag | sun sensor |
EP1895459A1 (en) * | 2006-08-31 | 2008-03-05 | 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 |
US20080060210A1 (en) * | 2006-09-07 | 2008-03-13 | Trout Blair S | Computerized antler scoring system |
US8024173B1 (en) | 2006-09-11 | 2011-09-20 | WordRake Holdings, LLC | Computer processes for detecting and correcting writing problems associated with nominalizations |
US7978617B2 (en) | 2006-09-15 | 2011-07-12 | Citrix Systems, Inc. | Methods for providing performance improvement recommendations |
US8078972B2 (en) | 2006-09-15 | 2011-12-13 | Citrix Systems, Inc. | Methods and interfaces for displaying performance data related to a current remote access session |
US20080201201A1 (en) * | 2006-09-25 | 2008-08-21 | Sms.Ac | Methods and systems for finding, tagging, rating and suggesting content provided by networked application pods |
US20080288582A1 (en) * | 2006-09-25 | 2008-11-20 | Sms.Ac | Systems and methods for passing application pods between multiple social network service environments |
US7752043B2 (en) | 2006-09-29 | 2010-07-06 | Verint Americas Inc. | Multi-pass speech analytics |
US7895127B2 (en) * | 2006-09-29 | 2011-02-22 | Weiser Anatoly S | Rating-based sorting and displaying of reviews |
WO2008052068A2 (en) * | 2006-10-24 | 2008-05-02 | Careflash, Llc | A system and method for secure, anonymous, and pertinent reposting of private blog posting, etc. |
US8494436B2 (en) * | 2006-11-16 | 2013-07-23 | Watertown Software, Inc. | System and method for algorithmic selection of a consensus from a plurality of ideas |
US8713090B2 (en) | 2006-12-15 | 2014-04-29 | Microsoft Corporation | Enhancing user experiences using aggregated device usage data |
JP2008158712A (en) * | 2006-12-22 | 2008-07-10 | Fujitsu Ltd | Evaluation information management method, evaluation information management system and evaluation information management program |
US7987185B1 (en) | 2006-12-29 | 2011-07-26 | Google Inc. | Ranking custom search results |
WO2008086189A2 (en) * | 2007-01-04 | 2008-07-17 | Wide Angle Llc | Relevancy rating of tags |
US8032528B2 (en) * | 2007-01-12 | 2011-10-04 | About Inc. | Method and system for managing content submission and publication of content |
US7647325B2 (en) * | 2007-01-15 | 2010-01-12 | Microsoft Corporation | Hardware and software identifier categorization and review |
WO2008094868A2 (en) * | 2007-02-01 | 2008-08-07 | Crowd Technologies, Inc. | Graphical prediction editor |
US7693833B2 (en) * | 2007-02-01 | 2010-04-06 | John Nagle | System and method for improving integrity of internet search |
US20080249764A1 (en) * | 2007-03-01 | 2008-10-09 | Microsoft Corporation | Smart Sentiment Classifier for Product Reviews |
US8195676B2 (en) | 2007-03-05 | 2012-06-05 | International Business Machines Corporation | System and method of creating and rating items for social interactions |
US20090043868A1 (en) * | 2007-03-08 | 2009-02-12 | John Hathaway | Community information exchange system and method |
US20080228740A1 (en) * | 2007-03-16 | 2008-09-18 | Benjamin Weiss | Systems and methods for searching a network of distributed content servers |
US20080228776A1 (en) * | 2007-03-16 | 2008-09-18 | Benjamin Weiss | Devices and methods for searching a network of distributed content servers |
GB0705113D0 (en) * | 2007-03-16 | 2007-04-25 | Gorman Christopher S | Method and system for organising content |
US20080250331A1 (en) * | 2007-04-04 | 2008-10-09 | Atul Tulshibagwale | Method and System of a Voting Based Wiki and Its Application to Internet Topic Directories |
US8180680B2 (en) | 2007-04-16 | 2012-05-15 | Jeffrey Leventhal | Method and system for recommending a product over a computer network |
US7996210B2 (en) * | 2007-04-24 | 2011-08-09 | The Research Foundation Of The State University Of New York | Large-scale sentiment analysis |
US8725597B2 (en) * | 2007-04-25 | 2014-05-13 | Google Inc. | Merchant scoring system and transactional database |
US20080270552A1 (en) * | 2007-04-30 | 2008-10-30 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Determining influencers |
US20080270551A1 (en) * | 2007-04-30 | 2008-10-30 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Rewarding influencers |
US8793155B2 (en) * | 2007-04-30 | 2014-07-29 | The Invention Science Fund I, Llc | Collecting influence information |
US20080270416A1 (en) * | 2007-04-30 | 2008-10-30 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Determining influencers |
US8712837B2 (en) * | 2007-04-30 | 2014-04-29 | The Invention Science Fund I, Llc | Rewarding independent influencers |
US8290973B2 (en) * | 2007-04-30 | 2012-10-16 | The Invention Science Fund I, Llc | Determining influencers |
US20080270474A1 (en) * | 2007-04-30 | 2008-10-30 | Searete Llc | Collecting influence information |
US20080270473A1 (en) * | 2007-04-30 | 2008-10-30 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Determining an influence on a person by web pages |
US9135657B2 (en) * | 2007-07-27 | 2015-09-15 | The Invention Science Fund I, Llc | Rewarding independent influencers |
US20080270915A1 (en) * | 2007-04-30 | 2008-10-30 | Avadis Tevanian | Community-Based Security Information Generator |
US20080270620A1 (en) * | 2007-04-30 | 2008-10-30 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Reporting influence on a person by network-available content |
US7898394B2 (en) * | 2007-05-10 | 2011-03-01 | Red Hat, Inc. | Systems and methods for community tagging |
US8356048B2 (en) * | 2007-05-31 | 2013-01-15 | Red Hat, Inc. | Systems and methods for improved forums |
US8266127B2 (en) * | 2007-05-31 | 2012-09-11 | Red Hat, Inc. | Systems and methods for directed forums |
US7966319B2 (en) * | 2007-06-07 | 2011-06-21 | Red Hat, Inc. | Systems and methods for a rating system |
US7941428B2 (en) * | 2007-06-15 | 2011-05-10 | Huston Jan W | Method for enhancing search results |
US8775944B2 (en) | 2008-06-26 | 2014-07-08 | Citrix Systems, Inc. | Methods and systems for interactive evaluation of policies |
US8561148B2 (en) | 2008-06-26 | 2013-10-15 | Citrix Systems, Inc. | Methods and systems for interactive evaluation using dynamically generated, interactive resultant sets of policies |
US8548996B2 (en) * | 2007-06-29 | 2013-10-01 | Pulsepoint, Inc. | Ranking content items related to an event |
US9235848B1 (en) * | 2007-07-09 | 2016-01-12 | Groupon, Inc. | Implicitly associating metadata using user behavior |
US20120246085A1 (en) * | 2007-07-19 | 2012-09-27 | Depalma Mark S | Systems and methods for entity specific, data capture and exchange over a network |
US20090037235A1 (en) * | 2007-07-30 | 2009-02-05 | Anthony Au | System that automatically identifies a Candidate for hiring by using a composite score comprised of a Spec Score generated by a Candidates answers to questions and an Industry Score based on a database of key words & key texts compiled from source documents, such as job descriptions |
US8095403B2 (en) | 2007-08-10 | 2012-01-10 | Kap Holdings, Llc | System and method for provision of maintenance information and products |
US8311948B1 (en) * | 2007-08-22 | 2012-11-13 | BOCOO Capital, LLC | Content creation, monitoring and selection |
US7720722B2 (en) | 2007-08-23 | 2010-05-18 | Ebay Inc. | Sharing shopping information on a network-based social platform |
US7945482B2 (en) | 2007-08-23 | 2011-05-17 | Ebay Inc. | Viewing shopping information on a network-based social platform |
US8037009B2 (en) * | 2007-08-27 | 2011-10-11 | Red Hat, Inc. | Systems and methods for linking an issue with an entry in a knowledgebase |
US8296356B2 (en) * | 2007-08-31 | 2012-10-23 | Microsoft Corporation | Rating based on relationship |
US20090072946A1 (en) * | 2007-09-14 | 2009-03-19 | Sap Ag | Collaborative product authentication |
US20090094039A1 (en) * | 2007-10-04 | 2009-04-09 | Zhura Corporation | Collaborative production of rich media content |
US8838659B2 (en) | 2007-10-04 | 2014-09-16 | Amazon Technologies, Inc. | Enhanced knowledge repository |
US9251279B2 (en) | 2007-10-10 | 2016-02-02 | Skyword Inc. | Methods and systems for using community defined facets or facet values in computer networks |
US20090106226A1 (en) * | 2007-10-19 | 2009-04-23 | Erik Ojakaar | Search shortcut pullquotes |
US20090157523A1 (en) * | 2007-12-13 | 2009-06-18 | Chacha Search, Inc. | Method and system for human assisted referral to providers of products and services |
US20090157876A1 (en) * | 2007-12-17 | 2009-06-18 | Lection David B | Methods, Systems, And Computer Readable Media For Managing User Access To An Electronic Media Sharing Environment |
US8583480B2 (en) | 2007-12-21 | 2013-11-12 | Overstock.Com, Inc. | System, program product, and methods for social network advertising and incentives for same |
US20090164266A1 (en) * | 2007-12-21 | 2009-06-25 | Microsoft Corporation | Category aggregated opinion data |
US8214804B2 (en) | 2007-12-31 | 2012-07-03 | Overstock.Com, Inc. | System and method for assigning computer users to test groups |
US8577894B2 (en) * | 2008-01-25 | 2013-11-05 | Chacha Search, Inc | Method and system for access to restricted resources |
US8206222B2 (en) | 2008-01-29 | 2012-06-26 | Gary Stephen Shuster | Entertainment system for performing human intelligence tasks |
WO2009097581A1 (en) * | 2008-01-31 | 2009-08-06 | American International Group, Inc. | Method and system of developing a product |
US8332781B2 (en) * | 2008-02-13 | 2012-12-11 | International Business Machines Corporation | Virtual object tagging for use in marketing |
US9298815B2 (en) | 2008-02-22 | 2016-03-29 | Accenture Global Services Limited | System for providing an interface for collaborative innovation |
US20090216608A1 (en) * | 2008-02-22 | 2009-08-27 | Accenture Global Services Gmbh | Collaborative review system |
US20090216563A1 (en) * | 2008-02-25 | 2009-08-27 | Michael Sandoval | Electronic profile development, storage, use and systems for taking action based thereon |
US8255396B2 (en) * | 2008-02-25 | 2012-08-28 | Atigeo Llc | Electronic profile development, storage, use, and systems therefor |
US8954867B2 (en) * | 2008-02-26 | 2015-02-10 | Biz360 Inc. | System and method for gathering product, service, entity and/or feature opinions |
US8311881B2 (en) * | 2008-02-26 | 2012-11-13 | Wonderlandaward.Com Ltd | Rewards for unseen web site activity |
US20090228478A1 (en) * | 2008-03-06 | 2009-09-10 | Terril John Steichen | System and method for organizing and evaluating different points of view on controversial topics |
US7865455B2 (en) * | 2008-03-13 | 2011-01-04 | Opinionlab, Inc. | System and method for providing intelligent support |
US7933930B1 (en) * | 2008-04-08 | 2011-04-26 | United Services Automobile Association (Usaa) | Systems and methods for creating documents from templates |
US8037101B1 (en) | 2008-04-08 | 2011-10-11 | United Services Automobile Association (Usaa) | Systems and methods for creating documents from templates |
US8051103B1 (en) | 2008-04-08 | 2011-11-01 | United Services Automobile Association (Usaa) | Systems and methods for creating documents from templates |
US20090259625A1 (en) * | 2008-04-14 | 2009-10-15 | International Business Machines Corporation | Methods involving tagging |
US8185405B2 (en) * | 2008-05-20 | 2012-05-22 | Chuck Van Court | Method, system, and program product for information editorial controls |
US20110208616A1 (en) * | 2008-06-13 | 2011-08-25 | Christopher Simon Gorman | Content system |
US8326662B1 (en) | 2008-06-18 | 2012-12-04 | Overstock.Com, Inc. | Positioning E-commerce product related to graphical imputed consumer demand |
US8321300B1 (en) | 2008-06-30 | 2012-11-27 | Bazaarvoice, Inc. | Method and system for distribution of user generated content |
US7783646B2 (en) * | 2008-07-17 | 2010-08-24 | International Business Machines Corporation | System, method, and computer readable media for identifying and rating virtual universe objects |
US8170979B2 (en) * | 2008-08-12 | 2012-05-01 | Intersect Ptp, Inc. | Systems and methods for calibrating user ratings |
US9792615B2 (en) * | 2008-09-09 | 2017-10-17 | Ebay Inc. | Automatic sequential review elicitation |
WO2010036012A2 (en) * | 2008-09-23 | 2010-04-01 | 주식회사 버즈니 | Internet-based opinion search system, and opinion search, advertisement service system and method for same |
US8347235B2 (en) | 2008-09-26 | 2013-01-01 | International Business Machines Corporation | Method and system of providing information during content breakpoints in a virtual universe |
US8386238B2 (en) * | 2008-11-05 | 2013-02-26 | Citrix Systems, Inc. | Systems and methods for evaluating a sequence of characters |
US8214261B2 (en) * | 2008-11-06 | 2012-07-03 | Bazaarvoice, Inc. | Method and system for promoting user generation of content |
JP5690473B2 (en) | 2009-01-28 | 2015-03-25 | 任天堂株式会社 | Program and information processing apparatus |
JP5527721B2 (en) * | 2009-01-28 | 2014-06-25 | 任天堂株式会社 | Program and information processing apparatus |
JP5229484B2 (en) * | 2009-01-28 | 2013-07-03 | 任天堂株式会社 | Information processing system, program, and information processing apparatus |
JP5813912B2 (en) * | 2009-01-28 | 2015-11-17 | 任天堂株式会社 | Program, information processing apparatus, and information processing system |
EP2394244A4 (en) * | 2009-02-05 | 2013-02-20 | Bazaarvoice | Method and system for providing content generation capabilities |
US9935793B2 (en) | 2009-02-10 | 2018-04-03 | Yahoo Holdings, Inc. | Generating a live chat session in response to selection of a contextual shortcut |
US9805089B2 (en) | 2009-02-10 | 2017-10-31 | Amazon Technologies, Inc. | Local business and product search system and method |
US10445781B2 (en) | 2009-03-06 | 2019-10-15 | Xandr Inc. | Advertising platform user data store management |
WO2010105115A2 (en) * | 2009-03-11 | 2010-09-16 | The Board Of Regents Of The University Of Texas System | Audience response system |
US9159074B2 (en) * | 2009-03-23 | 2015-10-13 | Yahoo! Inc. | Tool for embedding comments for objects in an article |
US9747622B1 (en) | 2009-03-24 | 2017-08-29 | Overstock.Com, Inc. | Point-and-shoot product lister |
US8719016B1 (en) | 2009-04-07 | 2014-05-06 | Verint Americas Inc. | Speech analytics system and system and method for determining structured speech |
WO2010129025A1 (en) * | 2009-05-04 | 2010-11-11 | Aptara, Inc. | Method and system for verifying a citation |
WO2010132544A1 (en) * | 2009-05-12 | 2010-11-18 | Itree Group, Llc | Interactive management system for developing instructional multimedia and curriculum delivery systems |
US20100318520A1 (en) * | 2009-06-01 | 2010-12-16 | Telecordia Technologies, Inc. | System and method for processing commentary that is related to content |
US8676632B1 (en) | 2009-07-16 | 2014-03-18 | Overstock.Com, Inc. | Pricing and forecasting |
US20110091859A1 (en) * | 2009-10-20 | 2011-04-21 | Hall David A | Method for Online Learning |
US8972436B2 (en) * | 2009-10-28 | 2015-03-03 | Yahoo! Inc. | Translation model and method for matching reviews to objects |
US8332232B2 (en) | 2009-11-05 | 2012-12-11 | Opinionlab, Inc. | System and method for mobile interaction |
US20110184780A1 (en) * | 2010-01-21 | 2011-07-28 | Ebay Inc. | INTEGRATION OF eCOMMERCE FEATURES INTO SOCIAL NETWORKING PLATFORM |
US20110225076A1 (en) * | 2010-03-09 | 2011-09-15 | Google Inc. | Method and system for detecting fraudulent internet merchants |
US10176484B2 (en) | 2010-03-16 | 2019-01-08 | AppNexus Inc. | Advertising venues and optimization |
KR20130060226A (en) | 2010-04-30 | 2013-06-07 | 나우 테크놀로지스 (아이피) 리미티드 | Content management apparatus |
US8930277B2 (en) | 2010-04-30 | 2015-01-06 | Now Technologies (Ip) Limited | Content management apparatus |
US8819566B2 (en) | 2010-05-04 | 2014-08-26 | Qwest Communications International Inc. | Integrated multi-modal chat |
US9559869B2 (en) | 2010-05-04 | 2017-01-31 | Qwest Communications International Inc. | Video call handling |
US9356790B2 (en) * | 2010-05-04 | 2016-05-31 | Qwest Communications International Inc. | Multi-user integrated task list |
US9003306B2 (en) | 2010-05-04 | 2015-04-07 | Qwest Communications International Inc. | Doodle-in-chat-context |
US9501802B2 (en) | 2010-05-04 | 2016-11-22 | Qwest Communications International Inc. | Conversation capture |
EP2567343A4 (en) | 2010-05-06 | 2018-01-31 | Atigeo Corporation | Systems, methods, and computer readable media for security in profile utilizing systems |
US9110882B2 (en) | 2010-05-14 | 2015-08-18 | Amazon Technologies, Inc. | Extracting structured knowledge from unstructured text |
US8566348B2 (en) | 2010-05-24 | 2013-10-22 | Intersect Ptp, Inc. | Systems and methods for collaborative storytelling in a virtual space |
US9152734B2 (en) * | 2010-05-24 | 2015-10-06 | Iii Holdings 2, Llc | Systems and methods for identifying intersections using content metadata |
WO2012018356A1 (en) * | 2010-08-04 | 2012-02-09 | Copia Interactive, Llc | System for and method of determining relative value of a product |
KR20120035292A (en) * | 2010-10-05 | 2012-04-16 | 엘지전자 주식회사 | Electronic device and operating method thereof |
US8612455B2 (en) * | 2010-10-06 | 2013-12-17 | Treato Ltd. | System and method for detecting personal experience event reports from user generated internet content |
US9355175B2 (en) * | 2010-10-29 | 2016-05-31 | Google Inc. | Triggering answer boxes |
WO2012061748A1 (en) | 2010-11-05 | 2012-05-10 | Bazaarvoice | Method and system for distribution of content |
US20120130769A1 (en) * | 2010-11-19 | 2012-05-24 | Gm Global Technology Operations, Inc. | Methods for conducting market research utilizing a telematics service system |
WO2012084447A1 (en) | 2010-12-23 | 2012-06-28 | Nagravision S.A. | System and method for managing a content catalogue |
US9367848B2 (en) | 2010-12-27 | 2016-06-14 | Stubhub, Inc. | Dynamic interactive seat map |
US8517840B2 (en) * | 2011-02-18 | 2013-08-27 | Salesforce.Com, Inc. | Methods and systems for providing a challenge user interface for an enterprise social network |
US20120232971A1 (en) * | 2011-03-08 | 2012-09-13 | Badgeville, Inc. | Method and apparatus for providing a customizable reward system |
US9047642B2 (en) | 2011-03-24 | 2015-06-02 | Overstock.Com, Inc. | Social choice engine |
US9142081B1 (en) * | 2011-04-01 | 2015-09-22 | Groupon, Inc. | Dynamic awarding of prizes in chance-based contests |
US8904502B1 (en) | 2011-04-04 | 2014-12-02 | Niels T. Koizumi | Systems and methods for rating organizations using user defined password gates |
US20130185291A1 (en) * | 2011-07-12 | 2013-07-18 | Mat Tyndall | Online rating and feedback system |
US8504561B2 (en) * | 2011-09-02 | 2013-08-06 | Microsoft Corporation | Using domain intent to provide more search results that correspond to a domain |
US8994755B2 (en) * | 2011-12-20 | 2015-03-31 | Alcatel Lucent | Servers, display devices, scrolling methods and methods of generating heatmaps |
US20130252221A1 (en) * | 2012-01-17 | 2013-09-26 | Alibaba.Com Limited | Question generation and presentation |
US9400847B1 (en) | 2012-01-31 | 2016-07-26 | Bazaarvoice, Inc. | Method and system for pagination of content |
US9396490B1 (en) | 2012-02-28 | 2016-07-19 | Bazaarvoice, Inc. | Brand response |
US8688796B1 (en) * | 2012-03-06 | 2014-04-01 | Tal Lavian | Rating system for determining whether to accept or reject objection raised by user in social network |
JP6044094B2 (en) * | 2012-03-28 | 2016-12-14 | 富士通株式会社 | Answer support server, answer support system, answer support method, and answer support program |
US11202958B2 (en) * | 2012-04-11 | 2021-12-21 | Microsoft Technology Licensing, Llc | Developing implicit metadata for data stores |
US20130282414A1 (en) * | 2012-04-20 | 2013-10-24 | Ca, Inc. | Idea cart |
US20130311901A1 (en) * | 2012-05-15 | 2013-11-21 | BK-N Inc. | Object interaction recordation system |
US20130325845A1 (en) | 2012-05-29 | 2013-12-05 | International Business Machines Corporation | Presentation of search results with diagrams |
US9947029B2 (en) | 2012-06-29 | 2018-04-17 | AppNexus Inc. | Auction tiering in online advertising auction exchanges |
US10198486B2 (en) | 2012-06-30 | 2019-02-05 | Ebay Inc. | Recommendation filtering based on common interests |
US9547316B2 (en) | 2012-09-07 | 2017-01-17 | Opower, Inc. | Thermostat classification method and system |
US10546262B2 (en) | 2012-10-19 | 2020-01-28 | Overstock.Com, Inc. | Supply chain management system |
US10949876B2 (en) | 2012-10-29 | 2021-03-16 | Overstock.Com, Inc. | System and method for management of email marketing campaigns |
US9265458B2 (en) | 2012-12-04 | 2016-02-23 | Sync-Think, Inc. | Application of smooth pursuit cognitive testing paradigms to clinical drug development |
US20140162241A1 (en) * | 2012-12-06 | 2014-06-12 | CrowdzSpeak Inc. | Determining crowd consensus |
JP6003637B2 (en) * | 2012-12-28 | 2016-10-05 | 富士通株式会社 | Information processing apparatus, node extraction program, and node extraction method |
US9477704B1 (en) * | 2012-12-31 | 2016-10-25 | Teradata Us, Inc. | Sentiment expression analysis based on keyword hierarchy |
US10067516B2 (en) | 2013-01-22 | 2018-09-04 | Opower, Inc. | Method and system to control thermostat using biofeedback |
US10915557B2 (en) | 2013-01-31 | 2021-02-09 | Walmart Apollo, Llc | Product classification data transfer and management |
US10938822B2 (en) * | 2013-02-15 | 2021-03-02 | Rpr Group Holdings, Llc | System and method for processing computer inputs over a data communication network |
US20140236677A1 (en) * | 2013-02-15 | 2014-08-21 | Marie B. V. Olesen | Method for providing consumer ratings |
US9380976B2 (en) | 2013-03-11 | 2016-07-05 | Sync-Think, Inc. | Optical neuroinformatics |
US9875237B2 (en) * | 2013-03-14 | 2018-01-23 | Microsfot Technology Licensing, Llc | Using human perception in building language understanding models |
US11676192B1 (en) | 2013-03-15 | 2023-06-13 | Overstock.Com, Inc. | Localized sort of ranked product recommendations based on predicted user intent |
US20140272898A1 (en) * | 2013-03-15 | 2014-09-18 | Vision Critical Communications Inc. | System and method of providing compound answers to survey questions |
US11023947B1 (en) | 2013-03-15 | 2021-06-01 | Overstock.Com, Inc. | Generating product recommendations using a blend of collaborative and content-based data |
US9075960B2 (en) | 2013-03-15 | 2015-07-07 | Now Technologies (Ip) Limited | Digital media content management apparatus and method |
US9105044B2 (en) * | 2013-03-21 | 2015-08-11 | Lithium Technologies, Inc. | Gamification for online social communities |
US10430894B2 (en) * | 2013-03-21 | 2019-10-01 | Khoros, Llc | Gamification for online social communities |
US10810654B1 (en) | 2013-05-06 | 2020-10-20 | Overstock.Com, Inc. | System and method of mapping product attributes between different schemas |
US9471883B2 (en) * | 2013-05-09 | 2016-10-18 | Moodwire, Inc. | Hybrid human machine learning system and method |
US10719797B2 (en) | 2013-05-10 | 2020-07-21 | Opower, Inc. | Method of tracking and reporting energy performance for businesses |
US20200012762A9 (en) * | 2013-06-05 | 2020-01-09 | Marc A. Grossman | Price transparency search, bundling, and financing for surgeries, medical procedures, and services |
US10001792B1 (en) | 2013-06-12 | 2018-06-19 | Opower, Inc. | System and method for determining occupancy schedule for controlling a thermostat |
US9483788B2 (en) | 2013-06-25 | 2016-11-01 | Overstock.Com, Inc. | System and method for graphically building weighted search queries |
WO2014209894A2 (en) * | 2013-06-27 | 2014-12-31 | Folloze, Inc. | Systems and methods for enterprise content curation |
US9811830B2 (en) | 2013-07-03 | 2017-11-07 | Google Inc. | Method, medium, and system for online fraud prevention based on user physical location data |
US9589535B2 (en) | 2013-07-19 | 2017-03-07 | Paypal, Inc. | Social mobile game for recommending items |
US10929890B2 (en) | 2013-08-15 | 2021-02-23 | Overstock.Com, Inc. | System and method of personalizing online marketing campaigns |
US10872350B1 (en) | 2013-12-06 | 2020-12-22 | Overstock.Com, Inc. | System and method for optimizing online marketing based upon relative advertisement placement |
US10037014B2 (en) | 2014-02-07 | 2018-07-31 | Opower, Inc. | Behavioral demand response dispatch |
US9727063B1 (en) | 2014-04-01 | 2017-08-08 | Opower, Inc. | Thermostat set point identification |
US10019739B1 (en) | 2014-04-25 | 2018-07-10 | Opower, Inc. | Energy usage alerts for a climate control device |
US10171603B2 (en) | 2014-05-12 | 2019-01-01 | Opower, Inc. | User segmentation to provide motivation to perform a resource saving tip |
US10565219B2 (en) | 2014-05-30 | 2020-02-18 | Apple Inc. | Techniques for automatically generating a suggested contact based on a received message |
US10579212B2 (en) * | 2014-05-30 | 2020-03-03 | Apple Inc. | Structured suggestions |
USD753168S1 (en) * | 2014-06-27 | 2016-04-05 | Opower, Inc. | Display screen of a communications terminal with graphical user interface |
US10024564B2 (en) | 2014-07-15 | 2018-07-17 | Opower, Inc. | Thermostat eco-mode |
US10410130B1 (en) | 2014-08-07 | 2019-09-10 | Opower, Inc. | Inferring residential home characteristics based on energy data |
US10572889B2 (en) | 2014-08-07 | 2020-02-25 | Opower, Inc. | Advanced notification to enable usage reduction |
US10467249B2 (en) | 2014-08-07 | 2019-11-05 | Opower, Inc. | Users campaign for peaking energy usage |
US9576245B2 (en) | 2014-08-22 | 2017-02-21 | O Power, Inc. | Identifying electric vehicle owners |
US10033184B2 (en) | 2014-11-13 | 2018-07-24 | Opower, Inc. | Demand response device configured to provide comparative consumption information relating to proximate users or consumers |
US20160162458A1 (en) * | 2014-12-09 | 2016-06-09 | Idibon, Inc. | Graphical systems and methods for human-in-the-loop machine intelligence |
US20160180413A1 (en) * | 2014-12-23 | 2016-06-23 | Abbyy Development Llc | Methods and systems that aggregate multi-media reviews of products and services |
US10198483B2 (en) | 2015-02-02 | 2019-02-05 | Opower, Inc. | Classification engine for identifying business hours |
US11093950B2 (en) | 2015-02-02 | 2021-08-17 | Opower, Inc. | Customer activity score |
US10074097B2 (en) | 2015-02-03 | 2018-09-11 | Opower, Inc. | Classification engine for classifying businesses based on power consumption |
US10371861B2 (en) | 2015-02-13 | 2019-08-06 | Opower, Inc. | Notification techniques for reducing energy usage |
US10380656B2 (en) | 2015-02-27 | 2019-08-13 | Ebay Inc. | Dynamic predefined product reviews |
US11025565B2 (en) | 2015-06-07 | 2021-06-01 | Apple Inc. | Personalized prediction of responses for instant messaging |
US10817789B2 (en) | 2015-06-09 | 2020-10-27 | Opower, Inc. | Determination of optimal energy storage methods at electric customer service points |
US9958360B2 (en) | 2015-08-05 | 2018-05-01 | Opower, Inc. | Energy audit device |
US10445425B2 (en) | 2015-09-15 | 2019-10-15 | Apple Inc. | Emoji and canned responses |
US10559044B2 (en) | 2015-11-20 | 2020-02-11 | Opower, Inc. | Identification of peak days |
US9501274B1 (en) * | 2016-01-29 | 2016-11-22 | International Business Machines Corporation | Qualitative feedback correlator |
US10083222B1 (en) * | 2016-03-29 | 2018-09-25 | Sprint Communications Company L.P. | Automated categorization of web pages |
US10534845B2 (en) | 2016-05-11 | 2020-01-14 | Overstock.Com, Inc. | System and method for optimizing electronic document layouts |
CA3031813A1 (en) * | 2016-07-29 | 2018-02-01 | 1974226 Alberta Ltd. | Processing user provided information for ranking information modules |
US10970769B2 (en) | 2017-03-02 | 2021-04-06 | Overstock.Com, Inc. | Method and system for optimizing website searching with user pathing |
US10771424B2 (en) * | 2017-04-10 | 2020-09-08 | Microsoft Technology Licensing, Llc | Usability and resource efficiency using comment relevance |
US10902462B2 (en) | 2017-04-28 | 2021-01-26 | Khoros, Llc | System and method of providing a platform for managing data content campaign on social networks |
US10785222B2 (en) | 2018-10-11 | 2020-09-22 | Spredfast, Inc. | Credential and authentication management in scalable data networks |
US10346449B2 (en) | 2017-10-12 | 2019-07-09 | Spredfast, Inc. | Predicting performance of content and electronic messages among a system of networked computing devices |
US11050704B2 (en) | 2017-10-12 | 2021-06-29 | Spredfast, Inc. | Computerized tools to enhance speed and propagation of content in electronic messages among a system of networked computing devices |
US10999278B2 (en) | 2018-10-11 | 2021-05-04 | Spredfast, Inc. | Proxied multi-factor authentication using credential and authentication management in scalable data networks |
US11470161B2 (en) | 2018-10-11 | 2022-10-11 | Spredfast, Inc. | Native activity tracking using credential and authentication management in scalable data networks |
US11570128B2 (en) | 2017-10-12 | 2023-01-31 | Spredfast, Inc. | Optimizing effectiveness of content in electronic messages among a system of networked computing device |
US10601937B2 (en) | 2017-11-22 | 2020-03-24 | Spredfast, Inc. | Responsive action prediction based on electronic messages among a system of networked computing devices |
US10594773B2 (en) | 2018-01-22 | 2020-03-17 | Spredfast, Inc. | Temporal optimization of data operations using distributed search and server management |
US11061900B2 (en) | 2018-01-22 | 2021-07-13 | Spredfast, Inc. | Temporal optimization of data operations using distributed search and server management |
WO2019171304A1 (en) * | 2018-03-06 | 2019-09-12 | Mudpie, Sa De Cv | Recommendation acknowledgement and tracking |
JP7135409B2 (en) * | 2018-04-27 | 2022-09-13 | セイコーエプソン株式会社 | Three-dimensional modeling apparatus and three-dimensional model manufacturing method |
JP7274721B2 (en) * | 2018-10-03 | 2023-05-17 | 株式会社TeraDox | Methods of providing goods and services via networks |
US10855657B2 (en) | 2018-10-11 | 2020-12-01 | Spredfast, Inc. | Multiplexed data exchange portal interface in scalable data networks |
US11610277B2 (en) | 2019-01-25 | 2023-03-21 | Open Text Holdings, Inc. | Seamless electronic discovery system with an enterprise data portal |
US11514493B1 (en) | 2019-03-25 | 2022-11-29 | Overstock.Com, Inc. | System and method for conversational commerce online |
US11205179B1 (en) | 2019-04-26 | 2021-12-21 | Overstock.Com, Inc. | System, method, and program product for recognizing and rejecting fraudulent purchase attempts in e-commerce |
US10931540B2 (en) | 2019-05-15 | 2021-02-23 | Khoros, Llc | Continuous data sensing of functional states of networked computing devices to determine efficiency metrics for servicing electronic messages asynchronously |
US11144983B2 (en) | 2019-08-09 | 2021-10-12 | Virgin Cruises Intermediate Limited | Systems and methods for computer generated recommendations with improved accuracy and relevance |
US11734368B1 (en) | 2019-09-26 | 2023-08-22 | Overstock.Com, Inc. | System and method for creating a consistent personalized web experience across multiple platforms and channels |
WO2021150236A1 (en) * | 2020-01-24 | 2021-07-29 | Google, Llc | Interaction tracking controls |
CN113495942B (en) * | 2020-04-01 | 2022-07-05 | 百度在线网络技术(北京)有限公司 | Method and device for pushing information |
US11245656B2 (en) | 2020-06-02 | 2022-02-08 | The Toronto-Dominion Bank | System and method for tagging data |
US12120078B2 (en) | 2020-09-18 | 2024-10-15 | Khoros, Llc | Automated disposition of a community of electronic messages under moderation using a gesture-based computerized tool |
US11438289B2 (en) | 2020-09-18 | 2022-09-06 | Khoros, Llc | Gesture-based community moderation |
US11128589B1 (en) | 2020-09-18 | 2021-09-21 | Khoros, Llc | Gesture-based community moderation |
US11438282B2 (en) | 2020-11-06 | 2022-09-06 | Khoros, Llc | Synchronicity of electronic messages via a transferred secure messaging channel among a system of various networked computing devices |
US11924375B2 (en) | 2021-10-27 | 2024-03-05 | Khoros, Llc | Automated response engine and flow configured to exchange responsive communication data via an omnichannel electronic communication channel independent of data source |
US11627100B1 (en) | 2021-10-27 | 2023-04-11 | Khoros, Llc | Automated response engine implementing a universal data space based on communication interactions via an omnichannel electronic data channel |
US11714629B2 (en) | 2020-11-19 | 2023-08-01 | Khoros, Llc | Software dependency management |
WO2022147528A1 (en) * | 2021-01-04 | 2022-07-07 | The Regents Of The University Of Colorado, A Body Corporate | Natural-language processing system and method for detecting social diversity and inclusion |
US11715113B2 (en) * | 2021-04-26 | 2023-08-01 | Affordable Housing Network, Llc | Affordable housing interactive waiting list and data synchronization system |
CN113037596B (en) * | 2021-05-18 | 2021-08-10 | 南京长凯电力自动化设备有限公司 | Testing device and method for ring main unit |
Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5625767A (en) * | 1995-03-13 | 1997-04-29 | Bartell; Brian | Method and system for two-dimensional visualization of an information taxonomy and of text documents based on topical content of the documents |
US5924072A (en) * | 1997-01-06 | 1999-07-13 | Electronic Data Systems Corporation | Knowledge management system and method |
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 |
US5974412A (en) * | 1997-09-24 | 1999-10-26 | Sapient Health Network | Intelligent query system for automatically indexing information in a database and automatically categorizing users |
US6006218A (en) * | 1997-02-28 | 1999-12-21 | Microsoft | Methods and apparatus for retrieving and/or processing retrieved information as a function of a user's estimated knowledge |
US6012053A (en) * | 1997-06-23 | 2000-01-04 | Lycos, Inc. | Computer system with user-controlled relevance ranking of search results |
US6018619A (en) * | 1996-05-24 | 2000-01-25 | Microsoft Corporation | Method, system and apparatus for client-side usage tracking of information server systems |
US6026388A (en) * | 1995-08-16 | 2000-02-15 | Textwise, Llc | User interface and other enhancements for natural language information retrieval system and method |
US6088692A (en) * | 1994-12-06 | 2000-07-11 | University Of Central Florida | Natural language method and system for searching for and ranking relevant documents from a computer database |
US6154811A (en) * | 1997-04-10 | 2000-11-28 | At&T Corp. | Scalable network object caching |
US6167395A (en) * | 1998-09-11 | 2000-12-26 | Genesys Telecommunications Laboratories, Inc | Method and apparatus for creating specialized multimedia threads in a multimedia communication center |
US6208998B1 (en) * | 1998-12-08 | 2001-03-27 | Infospace, Inc. | On-line directory service through the internet |
Family Cites Families (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5724567A (en) * | 1994-04-25 | 1998-03-03 | Apple Computer, Inc. | System for directing relevance-ranked data objects to computer users |
WO1996010795A1 (en) * | 1994-10-03 | 1996-04-11 | Helfgott & Karas, P.C. | A database accessing system |
US6029195A (en) * | 1994-11-29 | 2000-02-22 | Herz; Frederick S. M. | System for customized electronic identification of desirable objects |
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 |
US5893095A (en) * | 1996-03-29 | 1999-04-06 | Virage, Inc. | Similarity engine for content-based retrieval of images |
US5915250A (en) * | 1996-03-29 | 1999-06-22 | Virage, Inc. | Threshold-based comparison |
US5913205A (en) * | 1996-03-29 | 1999-06-15 | Virage, Inc. | Query optimization for visual information retrieval system |
US6330576B1 (en) * | 1998-02-27 | 2001-12-11 | Minolta Co., Ltd. | User-friendly information processing device and method and computer program product for retrieving and displaying objects |
US6266668B1 (en) * | 1998-08-04 | 2001-07-24 | Dryken Technologies, Inc. | System and method for dynamic data-mining and on-line communication of customized information |
US6377949B1 (en) * | 1998-09-18 | 2002-04-23 | Tacit Knowledge Systems, Inc. | Method and apparatus for assigning a confidence level to a term within a user knowledge profile |
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 |
US6115709A (en) * | 1998-09-18 | 2000-09-05 | Tacit Knowledge Systems, Inc. | Method and system for constructing a knowledge profile of a user having unrestricted and restricted access portions according to respective levels of confidence of content of the portions |
US6317722B1 (en) * | 1998-09-18 | 2001-11-13 | Amazon.Com, Inc. | Use of electronic shopping carts to generate personal recommendations |
US6654735B1 (en) * | 1999-01-08 | 2003-11-25 | International Business Machines Corporation | Outbound information analysis for generating user interest profiles and improving user productivity |
WO2000046701A1 (en) * | 1999-02-08 | 2000-08-10 | Huntsman Ici Chemicals Llc | Method for retrieving semantically distant analogies |
US6618727B1 (en) * | 1999-09-22 | 2003-09-09 | Infoglide Corporation | System and method for performing similarity searching |
-
2001
- 2001-02-10 US US09/782,873 patent/US7143089B2/en not_active Expired - Fee Related
- 2001-02-10 AU AU2001236899A patent/AU2001236899B2/en not_active Ceased
- 2001-02-10 CA CA002399641A patent/CA2399641A1/en not_active Abandoned
- 2001-02-10 AU AU3689901A patent/AU3689901A/en active Pending
- 2001-02-10 NZ NZ520663A patent/NZ520663A/en unknown
- 2001-02-10 WO PCT/US2001/004408 patent/WO2001059625A1/en active IP Right Grant
- 2001-02-10 EP EP01909114A patent/EP1272942A4/en not_active Withdrawn
-
2006
- 2006-11-27 US US11/563,628 patent/US7664747B2/en not_active Expired - Fee Related
-
2010
- 2010-02-14 US US12/705,612 patent/US8024334B2/en not_active Expired - Fee Related
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6088692A (en) * | 1994-12-06 | 2000-07-11 | University Of Central Florida | Natural language method and system for searching for and ranking relevant documents from a computer database |
US5625767A (en) * | 1995-03-13 | 1997-04-29 | Bartell; Brian | Method and system for two-dimensional visualization of an information taxonomy and of text documents based on topical content of the documents |
US6026388A (en) * | 1995-08-16 | 2000-02-15 | Textwise, Llc | User interface and other enhancements for natural language information retrieval system and method |
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 |
US6018619A (en) * | 1996-05-24 | 2000-01-25 | Microsoft Corporation | Method, system and apparatus for client-side usage tracking of information server systems |
US5924072A (en) * | 1997-01-06 | 1999-07-13 | Electronic Data Systems Corporation | Knowledge management system and method |
US6006218A (en) * | 1997-02-28 | 1999-12-21 | Microsoft | Methods and apparatus for retrieving and/or processing retrieved information as a function of a user's estimated knowledge |
US6154811A (en) * | 1997-04-10 | 2000-11-28 | At&T Corp. | Scalable network object caching |
US6012053A (en) * | 1997-06-23 | 2000-01-04 | Lycos, Inc. | Computer system with user-controlled relevance ranking of search results |
US5974412A (en) * | 1997-09-24 | 1999-10-26 | Sapient Health Network | Intelligent query system for automatically indexing information in a database and automatically categorizing users |
US6167395A (en) * | 1998-09-11 | 2000-12-26 | Genesys Telecommunications Laboratories, Inc | Method and apparatus for creating specialized multimedia threads in a multimedia communication center |
US6208998B1 (en) * | 1998-12-08 | 2001-03-27 | Infospace, Inc. | On-line directory service through the internet |
Non-Patent Citations (1)
Title |
---|
See also references of EP1272942A4 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1546842A2 (en) * | 2002-07-24 | 2005-06-29 | Involve Technology, Inc. | A system for creating and maintaining a database of information utilizing user opinions |
EP1546842A4 (en) * | 2002-07-24 | 2009-04-01 | Involve Technology Inc | A system for creating and maintaining a database of information utilizing user opinions |
WO2009095746A1 (en) * | 2008-01-29 | 2009-08-06 | Alterbuzz | Method to search for a user generated content web page |
Also Published As
Publication number | Publication date |
---|---|
CA2399641A1 (en) | 2001-08-16 |
AU2001236899B2 (en) | 2006-06-29 |
AU3689901A (en) | 2001-08-20 |
US20100198834A1 (en) | 2010-08-05 |
EP1272942A1 (en) | 2003-01-08 |
NZ520663A (en) | 2004-05-28 |
US7664747B2 (en) | 2010-02-16 |
US7143089B2 (en) | 2006-11-28 |
US20010047290A1 (en) | 2001-11-29 |
US8024334B2 (en) | 2011-09-20 |
EP1272942A4 (en) | 2008-09-10 |
US20070100898A1 (en) | 2007-05-03 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
AU2001236899B2 (en) | System for creating and maintaining a database of information utilizing user opinions | |
AU2001236899A1 (en) | System for creating and maintaining a database of information utilizing user opinions | |
US20040205065A1 (en) | System for creating and maintaining a database of information utilizing user opinions | |
US10706115B1 (en) | Personalizing search queries based on user membership in social network communities | |
US20180374121A1 (en) | Economic filtering system for delivery of permission based, targeted, incentivized advertising | |
Schafer et al. | Meta-recommendation systems: user-controlled integration of diverse recommendations | |
US7162433B1 (en) | System and method for interactive contests | |
US8166026B1 (en) | User-centric, user-weighted method and apparatus for improving relevance and analysis of information sharing and searching | |
US6594638B1 (en) | On-line method and apparatus for collecting demographic information about a user of a world-wide-web site and dynamically selecting questions to present to the user | |
US10740723B2 (en) | Computer method and system for searching and navigating published content on a global computer network | |
JP2002507794A (en) | Improved search engine | |
Furner | On recommending | |
KR100627845B1 (en) | Method for Determining Excellent Contents in Internet Web Bulletin Board | |
US20100153177A1 (en) | System for determining the intrinsic value provided to internet users by selected web sites | |
US20100153178A1 (en) | System for determining the intrinsic value provided to internet users by selected web sites | |
WO2004010265A2 (en) | A system for creating and maintaining a database of information utilizing user options | |
Vrana et al. | Measuring the provision of information services in tourist hotel web sites: the case of Athens-Olympic city 2004 | |
KR20000054604A (en) | Agency service of event public information and giveaway information support system to use internet | |
KR20090123579A (en) | Knowledge share method and system for providing intensively meaningful information via public wisdom growth based on recommendation request and answer | |
KR20010071649A (en) | System for Advertising Books and Guiding its Selection by Linking Free Presentation of Books with Evaluation of Books Using Internet and Method thereof | |
WO2000077691A1 (en) | Systems for providing large arena searches | |
WO2000077691A9 (en) | Systems for providing large arena searches | |
Bhandari | Value of Internet presence sites from a consumer perspective and its implications for the firm | |
Kennedy | Site Plan-12 Steps to Promoting Your Web Site | |
Kim | The current internet marketing status of Korean travel agency web sites |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
AK | Designated states |
Kind code of ref document: A1 Designated state(s): AE AG AL AM AT AU AZ BA BB BG BR BY BZ CA CH CN CR CU CZ DE DK DM DZ EE ES FI GB GD GE GH GM HR HU ID IL IN IS JP KE KG KP KR KZ LC LK LR LS LT LU LV MA MD MG MK MN MW MX MZ NO NZ PL PT RO RU SD SE SG SI SK SL TJ TM TR TT TZ UA UG UZ VN YU ZA ZW |
|
AL | Designated countries for regional patents |
Kind code of ref document: A1 Designated state(s): GH GM KE LS MW MZ SD SL SZ TZ UG ZW AM AZ BY KG KZ MD RU TJ TM AT BE CH CY DE DK ES FI FR GB GR IE IT LU MC NL PT SE TR BF BJ CF CG CI CM GA GN GW ML MR NE SN TD TG |
|
121 | Ep: the epo has been informed by wipo that ep was designated in this application | ||
DFPE | Request for preliminary examination filed prior to expiration of 19th month from priority date (pct application filed before 20040101) | ||
WWE | Wipo information: entry into national phase |
Ref document number: 2001236899 Country of ref document: AU |
|
WWE | Wipo information: entry into national phase |
Ref document number: 520663 Country of ref document: NZ |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2399641 Country of ref document: CA |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2001909114 Country of ref document: EP |
|
WWP | Wipo information: published in national office |
Ref document number: 2001909114 Country of ref document: EP |
|
REG | Reference to national code |
Ref country code: DE Ref legal event code: 8642 Ref country code: DE Ref legal event code: 8642 |
|
WWP | Wipo information: published in national office |
Ref document number: 520663 Country of ref document: NZ |
|
WWG | Wipo information: grant in national office |
Ref document number: 520663 Country of ref document: NZ |
|
NENP | Non-entry into the national phase |
Ref country code: JP |