KR101366887B1 - Contributor reputation-based message boards and forums - Google Patents

Abstract

The present invention relates to a reputation based communication or content service operating system and method. The method comprises the steps of obtaining at least one metric associated with the reputation by the first user contribution, identifying communication or content associated with the first user contributor, and communicating based on the acquired objective contributor reputation Or processing the content to generate a processed communication or content. Services are broadly defined and may be selected from bulletin boards, message boards, chat rooms, forums, informational services, content delivery services, email services, search engine services, communications or content blocking services, and the like. The invention also relates to a system for providing an online reputation or a processed reputation based on content. The invention also relates to communication or content provided or generated by these systems or methods. The invention also relates to a business method of operating a communication or content providing service. The invention also relates to a computer program and a computer program product stored on tangible media or electrically accessible and readable in order to implement the method.

Description

Contributor reputation boards and forums {CONTRIBUTOR REPUTATION-BASED MESSAGE BOARDS AND FORUMS}

The present invention relates generally to message boards and forums based on the Internet, web and network, chat rooms, email and other forms of asynchronous and synchronous communications, and more specifically, to the reputation of the contributor or publisher for several objectives. It relates to such message boards and forums, chat rooms, emails, etc., which are automatically evaluated on a criteria basis and used to classify, rate or filter contributions, posts or other content contributed by the contributor or publisher.

Currently, many message boards and forums exist online. Raging Bull, for example, is a popular message board where investors can post their thoughts on the outlook for multiple stocks. SlashDot.org allows members to post their thoughts on technical issues and rate other people's posts. SlashDot's ability to filter or rank posts based on how other readers rate their posts or how much they like them is particularly useful. Unfortunately, the collaborative filtering method employed by Slashdot and many other sites relies on subjective judgment after the fact. That is, after readers spend time reading the post, they provide subjective judgments about how some of them like or dislike the post.

Although somewhat useful, there are inherent inefficiencies and problems with these conventional methods. First, many people will read posts, but not everyone will rate them. This means that a few people with strong opinions (and maybe one or a few people with multiple user identifiers or IDs) can distort the system early and often. Second, while waiting for information to be evaluated by others, many still have to search for limited low quality information or information that does not have a quality rating. Third, the quality of the posts is very subjective. In general, what one may find useful may be classified or evaluated as useless to another. Most sites do not have rigorous criteria to create an objective quality rating or even a subjective quality rating. Even if these stringent criteria are added, they will take time to learn and apply and thus reduce user participation. It would also be difficult or impossible to enforce standards in practice. Thus, the current level of technology can only be applied after a post or suggestion has been recorded, showing at least only subjective relatively coarse filtering ability that works by at least passing the burden of quality control on users of websites or other interactive or online forums. .

Take advantage of the ability to filter posts or articles in advance based on, for example, the reputation of the publisher or contributor of a site, message board and / or forum with multiple publishers or contributors other than the site, message board or forum administrator or creator Or any online site, message board, or other forum contributed by multiple users is known.

Particularly difficult in building such a system was obtaining reliable and objective information about the quality of the publisher or contributor. As mentioned above, sites like SlashDot necessarily rely on the subjective judgments of readers who assign scores. Other sites with a quality rating system (eg, ebay, an online auction site) also typically rely on subjective user ratings. When evaluators know they will also be evaluated (eg on eBay), "reputation" becomes unreliable because people are reluctant to give a low rating because they are afraid to get negative ratings in retaliation. . Also, because many publishers are single or rare publishers, it is often impossible to reliably predict even the subjective quality of a post in advance. In most cases, there are simply not enough data points to create a reliable trend.

In summary, the systems and methods used today in the Internet and online publishing domains are the filtering of posts based on their subjective quality ratings, and not attempting to filter posts based on the publisher's objective quality metrics. In the area of user reputation, eBay-like subjective annotations or evaluations that are generally exaggerated and not very useful (and in some cases unreliable) until many data points (e.g., many transactions) are established. Not reputation).

According to one aspect, the present invention provides a method of operating a reputation-based communication or content service, the method comprising: obtaining a first user contribution at least one metric associated with the reputation, and associated with the first user contributor Identifying a communication or content that is present and processing the communication or content based on the obtained objective contributor reputation to generate a processed communication or content.

According to another aspect, in the method, the service consists of an online bulletin board, an online message board, a chat room, a forum, an information service, a content delivery service, an email service, a search engine service, a communication or content blocking service, or any combination thereof. Is selected from a set of services.

According to another aspect, the present invention provides a system for providing a processed reputation based on an online reputation or content, wherein the contribution includes a reputation metric collecting element, a communication or content media identification element, and a communication or content reputation processing element. To provide.

According to one aspect, the present invention provides communication or content generated by the system or method.

According to another aspect, the present invention provides a business method and business model for operating a communication or content providing service.

According to another aspect, the present invention provides a computer program and a computer program product stored in a tangible medium or stored in an electrically accessible readable form.

1 illustrates an exemplary embodiment of a system for providing and utilizing a reputation based message board, website, forum, chat room, other communication or content based or related site or service, etc., in accordance with the present invention;

FIG. 2 illustrates one embodiment of a simple input box for comment input or message board from a pre-published mock-up of the predictwallstree.com website.

3 illustrates one embodiment of a simple reputation-based bulletin board (RBB) that may appear when a post is classified by reputation for accuracy.

4 illustrates an exemplary drop down or pull down filtering control.

5 is a flow chart of one embodiment of a method of the present invention.

The present invention provides a system, apparatus, method, computer program, and business method for filtering posts based on a publisher's objective quality metric (eg, objective performance track record or reputation). This performance track record or reputation may be based on past performance. The invention is also referred to at least in part as a REB (Reputation-Based Board), as it relates to the reputation of the publisher (eg, objective performance results) that handles the filtering of posts on the message board. Objective performance performance may be, for example, objective performance accuracy performance or history.

RBB is not limited to message boards, websites or forums, and the RBB system and method of the present invention may add significant values to either type of bulletin board, message board or other type of online information exchange, where the information source or information Components of the source can be identified or tagged by the publisher's reputation. The more objectified and quantified the reputation, the better. For example, a doctor's post in an online forum for any lawmaker may have an online reputation that reflects the number of successful medical care or years of medical practice or other real objective measures, and the stock predictor may Have an online reputation that reflects an objective measure of stock prediction capabilities.

By automatically collecting objective metrics and matching these reputation metrics closely with the subject of the message board (e.g. Slashdot), much less effort than traditional collaborative filtering schemes or reputation rating schemes (e.g. eBay) It is possible to filter posts with higher objective accuracy. For example, it will be appreciated that the www.PredictWallStreet.com website (developed and operated by the inventor of the present invention) automatically tracks the accuracy of an individual predicting stock prices online. Accuracy is tracked for all predictions that allow the site to assign a very special 100% objective reputation to the predictor.

In one embodiment that determines, associates, or assigns a reputation, a reputation associated with a particular publisher or contributor may be very closely related to a post or contribution made within a particular field. Consider Joe, an online stock predictor who accurately predicted 80% of IBM's stock at the time, but Wal-Mart's stock accurately predicted 50%. This past objective performance seems to suggest that Joe has an understanding or insight on the side of IBM stocks (or perhaps the stock market sectors that IBM stocks belong to) rather than Wal-Mart (or such market segments). Thus, if Joe posts a message to IBM (on an IBM stock message board), he will have a good reputation for his relatively accurate performance on accurate predictions. In the Wal-Mart stock message board, his reputation will be relatively poor. Reputation may change or improve over time, giving a more objective weight to the recent objective history, i.e. less previous performance is reflected or not considered at all. Reputation may also be altered or processed by any or any combination of various types of deterministic or statistical based algorithms and statistical formulas or calculations, if it is found to yield more useful reputation or reputation based results. The same may be changed or processed.

Note that no one needs to read and score these to subjectively determine the quality of Joe's posts or contributions (in this case, stock predictions). Instead, posts may be automatically filtered based on Joe's objective reputation. Reputation can be specific to each message board, online forum, or other source. For example, another user, Steve, might go to the message board and ask to see only posts by people with 80% or better performance. On IBM boards, Steve will see Joe's posts because Joe's articles meet or exceed 80% performance criteria. On Wal-Mart boards, Joe's posts will not appear because Joe's performance is below the threshold set by Steve. Of course, instead of setting a threshold, Steve may first want to see posts that have been sorted or otherwise filtered by the most accurate prediction. The criteria do not need to be numerical, but such as a very reliable class, generally a trusted class, a questionable class, an erratic class, or any other class that can be set to represent the objective past performance of the publisher or contributor. It can also be set as a performance class. Importantly, because Steve knows that Joe's reputation is based on objective performance criteria, he can know and decide much more about what to do with the information in Joe's posts. Also, all readers do not have to work to evaluate others.

Many variations of the RBB invention are possible and can be applied to a wide range of applications. The two main sources of added values (among other things) are (1) that objective metrics are collected automatically, and (2) the ability to filter or automatically select posts to view based on these metrics.

One of the benefits of RBB is that it establishes a reputation, even if the publisher has not made any posts before. For example, at PredictWallStreet.com, a predictor who has consistently done well with many predictions will have a good reputation from his first post. When RBB is combined with the means of quickly and easily acquiring many objective performance metric points (described in more detail below), it will be particularly powerful and valuable.

Now a system or communication medium, such as a system or message board element comprising (1) a metric gathering element, (2) in some embodiments (a) means and method for entering information and (b) means and method for displaying information. Elements, (3) three major elements of the filtering mechanism and method that allow the message board to sort or modify the display of input information based on collected metrics (e.g., publisher reputation). Note one specific embodiment. Other embodiments of the invention may include separate elements separately and the remaining elements may be optional.

First, a system capable of implementing an embodiment of the present invention will be described. Embodiments of the invention may be practiced on virtually any computer system having a first node or machine hosting a website, message board, forum or other post object, and the publisher or contributor may be any other computer machine or information appliance. (Or even on the same server or other host machine), the invention is applicable to various machine types and / or architectures, and the example embodiments are merely exemplary and not limiting.

1 may serve to interact with one or more users 54 via an interactive electronic medium, such as a computer 56 or other information appliance coupled to the server 52 via a network 60 such as the Internet. An exemplary embodiment of a system including a server 52 is shown. To avoid obscuring the features of the present invention, typical networks, servers, computers and communication links are not shown in the figures.

The server 52 includes one or more processors 72 and a memory 73 coupled to the processor for the processing tasks required. These processing tasks include controlling communication with users over a network and accessing one or more integrated or separate storage devices 74 such as hard disk drive mass persistent storage that stores programs and data. The processing also includes activities to assist in processing the classification, rating, reputation information or user contribution information as described herein.

The user can access the server from a client-side computer or information appliance (machine) 77 via a network communication link or line 78. The user may have computer program code or applet for displaying and interfacing with the server. Local storage may be provided on a local user computer or information appliance for storing data, tokens, cookies or other identifiers or information.

Although a single server is shown, the functions and operations performed on the server may be distributed across multiple books for scalability, redundancy, performance or other reasons.

Now a site, message board and / or forum element comprising (1) a metric gathering element, (2) preferably means and method for entering information and optionally means and method for displaying information, and (3) a site Three elements of the rating, classification, and / or filtering elements that provide a mechanism to allow the sorting or modification of the display of inputted information based on the metrics collected, message boards, forums, etc. (one metric is reputation) Attention is drawn to the description of one particular embodiment of the system and method of the present invention comprising a.

Embodiments of the means for inputting information or annotations will be described later with reference to FIG. 2, and embodiments for displaying information or annotations will be described below with reference to FIG. 3. Means and methods for gathering metrics, entering information, and displaying information occur only on a user's or client's computer or on an information instrument or server computer, or in some way such that these three major elements are required on either computing machine. May be distributed between the two. Also, any element may be optional for a server element or a client element.

Each of these main elements will now be described in detail through some embodiments, along with additional descriptions, optional features and components of variations, and preferred embodiments and / or embodiments.

First, in the context of a metric collection system, automatic data collection that collects data without requiring additional input from the user or contributor is preferable to requiring the user to enter data. An objective or fact-based reputation of the contributor or publisher is one such metric. Where it is desirable to collect data automatically, systems and methods are preferably employed in which a user can collect many relevant data points with minimal effort. If the fact that the reputation metric is not recent is not important, it is sometimes possible to use existing data and may be implemented in some embodiments of the present invention. In general, however, in systems with a large number of users who have not already collected metrics, this "traditional data analysis" method is not appropriate. In general, it is desirable to collect, update, or use the current metric, so other embodiments will use this method.

Specifically, in the case of financial forecasting systems, the accuracy of the forecast is at the heart of performance metrics. Accuracy can be either directional accuracy (e.g., how often the stock rose when the contributors predicted it would go up) or absolute accuracy (e.g., how close the contributor's predicted price target is to the stock's actual price. Can be measured as There is some data on the predictions of some expert analysts, but the data is often incomplete and generally not as detailed as desired. Thus, while some embodiments of the present invention may use this existing objective data alone or in conjunction with other data, the use of existing objective data may in many cases not be a preferred implementation for financial prediction RBB. However, in special cases (eg for a user interested in a post of an established analyst), it may represent one of the preferred embodiments.

RBB is particularly powerful and beneficial for financial forecasts where many forecasts can be collected quickly and easily and the accuracy of these forecasts can be calculated automatically. A pending US patent application No. 11 / 526,218 filed on September 22, 2006, with inventors Craig A. Kaplan and Calen Lopata, entitled Graphical Forecasting Interface, and filed on September 22, 2006, named Graphical The Graphical Forecasting Interface (GFI) disclosed in PCT / US06 / 36922, which is a forecasting interface and inventors Craig A. Kaplan and Calen Lopata, is a method of collecting a large number of data points from users very quickly and easily. Based Boards' features, which applications are incorporated herein by reference.

Using the aforementioned GFI or other graphical interface, thousands of predictions can be stored in a database with minimal user time. Over time, forecasts are automatically checked for the current state of the forecast (eg, stock price) and accuracy is automatically calculated. Thus, with minimal effort from the user, a detailed and objective tracking record can be automatically generated for each predictor. RBB then uses this tracking record to filter the posts. The RBB and the graphical interface (eg, the GIF graphical prediction interface or other graphical interface of the aforementioned patent application) may work together when provided together. Thus, one preferred embodiment for the prediction system may include both graphical prediction interface elements and reputation based board elements.

Second, with regard to entering posts, annotations, recommendations, predictions, predictions and / or other information or data, from simple text entry boxes (see Figure 2) to complex multithreaded bulletin board systems available as standalone products. Many options are possible. Exemplary computer code is shown in Table 1 in a manner that, for example, a user may post a comment or other information. Table 2 provides computer code that can be used to display or view, for example, posted or contributed comments or other information. The code in Table 3 is example computer program code for use within a webpage that allows a user to post and view comments and works with the code listed in Tables 1 and 2. This example code provides an example of how a simple message from a financial forecasting system using past contributions as accuracy as an objective reputation metric works.

Instead of or in addition to online bulletin boards or message boards, websites and forums, chat rooms, emails and other forms of asynchronous and synchronous communication may be used. These features and applications of the present invention are substantially beneficial for third elements such as classification, evaluation, and filtering. The following describes various filtering mechanisms, means and methods.

Chat rooms on financial forecast sites have the ability to block communications (some sets of communications, such as posts on the message board) from people who do not exceed the minimum threshold for forecast accuracy. Similarly, a data feed consisting of tickers (see the pending patent application described above) or predictions flowing into an RSS feed may, in a preferred embodiment of the present invention, other criteria that may be important to accuracy and / or to the user. It may also be filtered according to the user's preference for (e.g., stocks in their portfolio or watchlist). These and other optional features may be given by embodiments of the present invention.

In one embodiment, a reputation based board provides editing of related content based on the contributor's objective reputation. Content may include predictions or predictions, recommendations, comments, documents, images, multimedia content, annotations or annotation sets, email or other communications, messages, message board posts, bulletin board posts, forum posts, personal profiles, dating profiles, access posts or any Other items or any content such as contributors, contributor groups, authors, objective reputation of the author (s), etc. may be useful for evaluating the value of the content.

In one embodiment, the RBB processes the reputation of a group of contributors of a plurality of posts and uses the processing results to determine which contributor's comments are included in the compilation. In one embodiment, an average, weighted average or other algebraic or statistical transformation of an individual's reputations may be provided with the compiled post.

In the light of the description set forth herein, an objective reputation of a single contributor may be used alone or in combination with the objective reputation of any other contributor or multiple contributors, and, once the objective contribution is available, Apparently, it may be applied to any content. Objective reputations can be used for many purposes other than bulletin boards.

For example, in addition to other message boards or the content filtering described herein, any type of content may be filtered, edited into a collection that is highlighted in different ways in accordance with different colors or fonts or different lists or reputation metrics. Automatically email or stream annotations above an identified reputation threshold, or trigger an alert when content or material appears or is identified as having a reputation of interest to one or more users or groups of users in this regard, Automatically delete information or keep information with sufficiently low reputation metrics, or automatically link to information based on the reputation associated with the information being linked and / or the reputation associated with the information from which the link occurs, or based on reputation metrics Process, classify, Should not.

In financial forecasting systems and / or methods, the ability to set an accuracy threshold (eg, a threshold set to show only predictors higher than some specified XX% accuracy) and / or the ability to set to be classified by accuracy is a preferred embodiment. Features included in.

3 shows a very simple sample sorting based on accuracy. Techniques for programming thresholds, filtering, and sorting are well known in the art and will not be described in further detail here. 4 (adopted from Slashdot.ort) illustrates a commonly used user interface for filtering controls that may be part of the preferred embodiment of RBB, where the criteria include an objective publisher reputation rather than a subjective rating for the post. . The Slashdot.ort criteria do not include an objective publisher reputation or many other aspects of the invention disclosed herein. Preferred embodiments may also include the ability to sort / filter posts by other interest categories, including date, topic, publisher, and accuracy.

While numerous aspects and embodiments of the invention have been described which include many optional features, note the description of selected embodiments that include specific combinations of features.

In one embodiment (1), the present invention provides a method for operating a reputation-based communication or content service, comprising: obtaining, by a first user contribution, at least one metric associated with a reputation; Identifying a communication or content associated with a contributor, and processing the communication or content based on the obtained objective contributor reputation to generate a processed communication or content.

In another embodiment (2), the method further comprises processing the communication or content with other communication or content from other contributors based at least in part on the reputation of the one or more contributors You may.

In another embodiment (3), the method also includes an online bulletin board, an online message board, a chat room, a forum, an information service, a content delivery service, an email service, a search engine service, a communication or content blocking service, and any thereof. May be required to be selected from a set of services consisting of

In another embodiment (4), the method also includes obtaining at least one metric for the first user contribution related to reputation, wherein the first user contribution includes collecting at least one metric associated with reputation. You can ask.

In another embodiment (5), the method further includes the step of collecting the at least one metric related to the reputation of the first user contribution automatically by the method without separate conscioius input by the user contributor. May be required to be performed.

In another embodiment (6), the method further includes the step of obtaining at least one metric associated with the reputation by the first user contribution comprising obtaining at least one metric associated with the reputation from the first user contribution from an external source. It may be required to include.

In another embodiment (7), the method further comprises the step of identifying the communication or content by (i) receiving a first communication or content from the first user contributor, and (ii) giving the first user contributor. It may be required to include at least one of identifying contributions or content that at least partially belong.

In another embodiment (8), the method may also require the step of identifying a communication or content that is relevant to the first user contributor.

In another embodiment (9), the method may also require further comprising transmitting to the user a second communication comprising the generated processed communication or content or part thereof.

In another embodiment (10), the method further includes obtaining at least one metric for the plurality of different user contributions related to reputation, identifying the communication or content with which the plurality of user contributions are associated with each other, The acquired objective contributions to the plurality of different user contributors may further require processing the plurality of communications or content based on a reputation to generate processed communications or content.

In another embodiment (11), the method further comprises that the processing based on the objective reputation comprises filtering, sorting, ordering, or blocking based on an objective reputation of one contributor or a plurality of contributors. may require processing to include a process selected from a set consisting of screening, compiling, grouping, deleting, flagging, hiding, highlighting, promoting, and combinations thereof. have.

In another embodiment 12, the method may also require that the process may be different for different contributors or other contributors.

In another embodiment (13), the method further includes the step of filtering based on the objective reputation so that the contributor or contributor includes some items based on the objective reputation of the group and does not include other item gains. And filtering based on the contributor or contributor's objective reputation, filtering the contributor or contributor to exclude some items based on the objective reputation of the group and not to exclude others. Editing a set of related content based on the contributor or contributor's objective reputation; ordering the contributor or contributor based on the objective reputation of the group; and contributing to the contributor's objective reputation Ordering the low rank to the high rank based on the A contributor to order from high ranking to low ranking based on the objective reputation of the group, the contributor or the contributor to select or not to select based on the objective reputation of the group, and the contributor or the contributor Processing based on a reputation, generating derivative objective reputation data based on the contributor or group's objective reputation, and processing selected from a set consisting of any combination thereof. have.

In another embodiment (14), the method also provides that the service is a network site, intranet site, internet site, worldwide website, email or email, interactive bulletin board, interactive electronic message board, online information exchange, email or annotation. It may be required to be a communication forum selected from a set of forums consisting of a thread set, an online interactive stock prediction forum, an online forum, and any combination thereof.

In another embodiment 15, the method may also require that an objective contribution based on the fact set in the same challenge field as the contribution to which the reputation metric is communicated includes the reputation.

In another embodiment 16, the method may also require that the objective contribution include a reputation based on historical accuracy.

In another embodiment 17, the method may also require that the reputation based on the historical accuracy is for a contribution within the same field as the previously established reputation.

In another embodiment 18, the method also includes collecting the objective metric automatically, without collecting the objective metric so that the objective metric is derived by providing the objective metric of information. You may be required to include a step.

In another embodiment 19, the method may also require matching these reputation metrics closely to the subject of the particular communication forum.

In another embodiment 20, the method may also require that the contribution filter the post with a predetermined objective accuracy, without the user's conscious contribution entry to the filtering metric.

In another embodiment 21, the method also automatically tracks the accuracy of the contributor providing an online prediction or prediction of the element, and the actual value of the element at the predicted time and date of the element. Comparing and generating prediction accuracy results, and automatically generating prediction accuracy for the contributor based on the comparison.

In another embodiment 22, the method may also require that the element be an online stock price forecast.

In another embodiment 23, the method may also require that the reputation metric be aged or refined so that recent objective histories receive greater objective weights or older performance is discounted or no consideration is made. have.

In another embodiment 24, the method may also require that reputation metrics that can be collected or obtained directly or indirectly are processed to be more useful.

In another embodiment 25, the method may also require that the processing to be more useful includes applying statistical processing to the at least one objective reputation metric.

In another embodiment 26, the method also allows the applied statistical process to calculate a weighted average over time and to compare one contributor's reputation with another contributor's reputation according to some defined comparison criteria. May be required to be selected from a set of statistical processes that include processing to normalize the plate or multiple plates.

In another embodiment 27, the method may also require that the comparison criteria defined above include objective comparison criteria.

In another embodiment 28, the method may also require that the objective plate comprises any combination of raw plate, processed plate or winch plate and processed plate.

In another embodiment 29, the method may also require that the filter further include filtering or automatically selecting contributions to be shown or presented to the user based on the objective metric or a combination of the plurality of metrics.

In another embodiment, the present invention provides a system for providing a reputation that is processed based on online communication or content, the contribution comprising a reputation metric collection element, a communication or content media identification element, and a communication or content reputation processing element. Provides a system to

Various embodiments of this system may include elements, functional blocks, computer program software or other means for carrying out the steps of the method described above.

In another embodiment 30, the system may also require that the collection element include an automatic collection element that automatically collects the reputation metrics associated with the contributor reputation without separate conscious input by the user contributor.

In another embodiment 31, the system may also require that the at least one reputation metric is obtained from an external source.

In another embodiment 32, the system further comprises that the contribution metric identification element comprises (i) means for receiving a first communication or content from the first user contributor, and (ii) at least to the first user contributor; It may be required to include means for identifying said communication or content selected from a set consisting of means for identifying a contribution or content that partially belongs.

In another embodiment 33, the system 32 also allows the communication or content reputation processing element to be filtered, sorted, ordered, blocked, edited, grouped, deleted based on an objective reputation of one contributor or multiple contributors. It may be required to include a processing unit suitable for processing selected from the set of processing schemes consisting of flagging, hiding, highlighting, promotion, and combinations thereof.

In another embodiment 34, the system 33 may also require that the other contributors or other contributors be different for the group.

In another embodiment 35, the system 34 also allows the communication or content reputation processing element to filter, sort, order, block, edit, group, delete based on an objective reputation of one contributor or multiple contributors. It may be required to include a processing unit suitable for processing selected from the set of processing schemes consisting of flagging, hiding, highlighting, promotion, and combinations thereof.

In another embodiment 36, the system also allows the communication or content media element to be a network site, intranet site, internet site, worldwide website, email or email, interactive bulletin board, interactive electronic message board, online information exchange. , Email or annotation thread sets, online interactive stock prediction forums, online forums, and any combination thereof.

In another embodiment 37, the system may also require that the communication or content media element further comprise (a) means for entering information and (b) means for displaying information.

In another embodiment 38, the system may also require that the communication or content filtering element provide a means to sort, limit, edit, or otherwise modify the display of input information based on collected metrics. have.

In another aspect, the present invention provides communication or content processed according to the methods and systems described above.

In another aspect, the invention is a computer program product stored on an electronically accessible medium for altering the operation of a computer system or computer network, the computer program product allowing a computer to generate processed reputation based communications or content. An executable computer program instruction comprising: a first user contribution obtaining at least one metric associated with a reputation, identifying a communication or content associated with the first user contributor, and based on the obtained objective contributor reputation A computer program product comprising instructions for processing a communication or content to generate a processed communication or content.

In another embodiment, a computer program and a computer program product may provide a program element for carrying out any of the steps and / or features of the method described above, which may be implemented on one computer or a plurality of computers or Technical effects may also be achieved by varying the normal operation of a plurality of computers.

In another aspect, the present invention provides a business method of operating a reputation-based communication or content providing service, comprising: obtaining, by a first user contribution, at least one metric associated with a reputation; Identifying a communication or content, processing the communication or content based on the obtained objective contributor reputation, generating a processed communication or content, and providing the processed communication or content to a subscriber; Providing a business method comprising receiving a reward from the subscriber as an exchange with the provided processed communication or content.

In another embodiment, the business method may also require that the reward be a financial reward, a service reward, a fee reward, a referral reward or any combination thereof.

The term "embodiment" as used herein is not limited to the embodiment that serves to explain by way of example.

Those skilled in the art will appreciate that the examples and embodiments described above are illustrative only and do not limit the scope of the present invention. When referring to the specification and drawings, it is intended that all substitutions, improvements, equivalents, and improvements to the invention that will be apparent to those skilled in the art are included within the true spirit and scope of the invention. Accordingly, the appended claims are intended to embrace all such alterations, substitutions, and equivalents that fall within the true spirit and scope of this invention.

Copyright Notice

Content contained herein is protected by copyright. The owner of the copyright does not object to the facsimile reproduction of this patent publication by anyone involved in the patent file or record of the Patent and Trademark Office, but otherwise retains all rights to the copyright.

Table 1. Example code for user comments (file name: Comment_view.asp)

Table 2. Example code for viewing user comments (file name: Comment_view.asp)

Table 3. Example code used within a web page to allow users to post and view comments (file name: Comments Functionality.asp)

Claims (43)

In the method of operating a reputation-based communication or content service, Obtaining, by the first user contribution, at least one objective reputation metric associated with a reputation to predict a state or condition of a future event over a network comprising a plurality of interconnected computers, the computer further comprising: A first computer comprising a first processor and a first memory coupled to the first processor; Identifying a first communication or first content associated with the first user contributor; Processing the first communication or first content at a first computer to generate a processed first communication or first content based on the obtained at least one objective reputation metric; Providing the subscriber with the processed first communication or first content; Exchanging the provided processed first communication or first content with a subscriber and receiving a reward from the subscriber, Obtaining the at least one objective reputation metric is performed using previous input by a user contributor via a graphical forecasting interface, The processing step, Obtaining a plurality of previous predictions for at least one particular prediction item state from the first user contributor, wherein obtaining the previous prediction comprises obtaining at least a portion of the plurality of predictions using a graphical prediction interface ; Storing the obtained prediction in a database connected to the network; Processing the stored prediction to automatically determine an objective prediction accuracy record from the stored first user contribution prediction by comparing the past prediction state and the subsequent actual state for the same item in correspondence with the prediction date and the prediction time; Using a detailed objective prediction score for the first user contributor to filter contribution postings made by the first user contributor, wherein the use step is obtained by processing the first communication or first content at the first computer Generating a processed first communication or first content based on at least one objective reputation metric, wherein the filtering operates at a site, message board, bulletin board post or contribution based on the reputation of the user contributor -A method comprising; The method of claim 1, Processing the communication or content in conjunction with other communication or content from other contributors based at least in part on the one or more contributors' objective reputation metrics. The method of claim 1, The service is selected from a set of services consisting of an online bulletin board, an online message board, a chat room, a forum, an information service, a content delivery service, an email service, a search engine service, a communication or content blocking service, and any combination thereof. The method of claim 1, Obtaining the at least one metric associated with the reputation by the first user contribution comprises collecting at least one metric associated with the reputation by the first user contribution. 5. The method of claim 4, Collecting the at least one metric associated with the reputation by the first user contribution is automatically performed by the method without separate conscioius input by the user contributor. The method of claim 1, Obtaining the at least one metric associated with the reputation by the first user contribution comprises obtaining at least one metric associated with the reputation from the external source. The method of claim 1, Identifying the first communication or first content may comprise (i) receiving a first communication or first content from the first user contributor, and (ii) a contribution that at least partially belongs to the first user contributor or At least one of identifying content. The method of claim 1, Identifying a communication or content that is relevant to the first user contributor. The method of claim 1, Sending a second communication to the user comprising the generated processed communication or content or portion thereof. The method of claim 1, A plurality of different user contributions obtaining at least one metric associated with a reputation, identifying a communication or content with which the plurality of user contributions are associated with each, and the obtained for the plurality of different user contributors Processing the plurality of communications or content based on an objective reputation metric to generate a processed communication or content. The method of claim 1, Processing based on the at least one objective reputation metric may include filtering, sorting, ordering, screening, compiling, based on an objective reputation of one or a plurality of contributors. A process selected from the set consisting of grouping, deleting, flagging, hiding, highlighting, promoting and combinations thereof. The method of claim 11, The process may be different for different contributors or groups of other contributors. The method of claim 1, Processing based on the at least one objective reputation metric includes filtering the contributor or contributor to include some items based on the objective reputation of the group and not including the other items, and the contributor or contributor group Filtering based on the objective reputation of the subject, filtering the contributor or contributor to exclude some items based on the group's objective reputation and not to exclude others; and the contributor or contributor's objective reputation Editing a set of related content based on the order, ordering the contributor or contributor based on the objective reputation of the group, and ordering the contributor or contributor from low to high ranking based on the objective reputation of the group And the contributor or group of contributors Ordering from high ranking to low ranking based on the objective reputation, selecting or not selecting the contributor or contributor based on the objective reputation of the group, and the contributor or contributor based on the objective reputation of the group And processing to generate derivative objective reputation data based on the contributor or contributor's objective reputation, and processing selected from the set consisting of any combination thereof. The method of claim 1, The services include network sites, intranet sites, internet sites, worldwide websites, email or email, interactive bulletin boards, interactive electronic message boards, online information exchange, email or comment thread sets, online interactive stock prediction forums, online forums, and A communication forum selected from a set of forums consisting of any combination thereof. The method of claim 1, And wherein the objective reputation metric comprises an reputation based on the facts set in the same challenge field as the communicated contribution. The method of claim 1, Wherein the objective reputation metric comprises a reputation based on historical accuracy. 17. The method of claim 16, And the reputation based on the historical accuracy is for a contribution within the same field as the established reputation. The method of claim 1, Obtaining the objective reputation metric includes providing an objective metric of information to automatically collect the objective metric without forcing the user to take a separate action to derive the objective metric. 15. The method of claim 14, And closely matching the objective reputation metric to a topic of a particular communication forum. The method of claim 1, The method further comprises the step of filtering the contribution post with a predetermined objective accuracy, without the user's conscious contribution entry to the filtering metric. The method of claim 1, The method automatically tracks the accuracy of a contributor that provides an online prediction or prediction of an element, and compares the prediction of the element with actual values of the element at a predicted time and date to produce a prediction accuracy result. Generating and automatically generating a prediction accuracy for the contributor based on the comparison. 22. The method of claim 21, The factor is an online stock price forecast. The method of claim 1, The reputation metric is aged or refined so that recent objective histories are given greater objective weights, older performance is discounted, or no consideration is made. The method of claim 1, Processing the reputation metrics that are collected or obtainable directly or indirectly to make them more useful. 25. The method of claim 24, And processing to become more useful comprises applying statistical processing to at least one objective reputation metric. 26. The method of claim 25, The statistical processing applied includes the process of calculating a weighted average over time and the process of normalizing the reputation or multiple reputations such that one contributor's reputation can be compared to another contributor's reputation according to some prescribed comparison criteria. Method selected from the set of statistical treatments. 27. The method of claim 26, Wherein said defined comparison criteria include objective comparison criteria. The method of claim 1, Wherein the objective reputation metric comprises a raw reputation, a processed reputation, or any combination of a win reputation and a processed reputation. The method of claim 1, The method further includes filtering or automatically selecting contributions to be shown or presented to the user based on the objective metric or a combination of the plurality of metrics. A system for providing a processed reputation based on online communication or content, The system includes a server computer comprising a processor and a memory coupled to the processor, the server computer being coupled to an external network to communicate with other computers including a first computer different from the server computer, The server computer, Contributors configured to obtain at least one objective reputation metric associated with the reputation by the first user contribution to predict the state or condition of a future event through an external network comprising a plurality of interconnected computers. A collection element, wherein the plurality of interconnected computers comprises a first computer comprising a first processor and a first memory coupled to the first processor; A communication or content medium identification element configured to identify a first communication or first content that is related to the first user contributor; Further comprising a communication or content reputation processing element configured to process the first communication or first content at a first computer to generate a processed first communication or first content based on the obtained at least one objective reputation metric, The contributor reputation metric collecting element is further configured to obtain at least one objective reputation metric using previous input by the user contributor via a graphical forecasting interface, The processor Obtaining a plurality of previous predictions for at least one particular prediction item state, wherein obtaining the previous prediction comprises obtaining at least a portion of the plurality of predictions using a graphical prediction interface; Store the obtained predictions in a database connected to the network, Processing the stored prediction to automatically determine an objective prediction accuracy record from the stored first user contribution prediction by comparing the past prediction state and the subsequent actual state for the same item in response to the prediction date and the prediction time, Contributions made by the first user contributor are further configured to use a detailed objective predictive score for the first user contributor to filter postings, wherein use of the objective predictive score is to communicate the first communication or first content at the first computer. Generating the processed first communication or first content based on the at least one objective reputation metric obtained by processing the data, wherein the filtering is based on the reputation of the user contributor and the site, message board, bulletin board post. Or operate in the contribution. 31. The method of claim 30, The collection element includes an automatic collection element that automatically collects the objective reputation metrics associated with the contributor reputation without separate conscious input by a user contributor. 32. The method of claim 31, And the at least one reputation metric is obtained from an external source. 31. The method of claim 30, The contributor reputation metric identification element comprises (i) means for receiving a first communication or content from the first user contributor, and (ii) means for identifying a contribution or content belonging at least partially to the first user contributor Means for identifying said communication or content selected from the set. 34. The method of claim 33, The communication or content reputation processing elements may be filtered, sorted, ordered, blocked, edited, grouped, deleted, flagged, hidden, highlighted, promoted, and based on an objective reputation of one contributor or multiple contributors. A system comprising a processing unit suitable for processing selected from a set of processing schemes consisting of a combination. 35. The method of claim 34, The processing may be different for a different contributor or group of contributors. 36. The method of claim 35, The communication or content reputation processing elements may be filtered, sorted, ordered, blocked, edited, grouped, deleted, flagged, hidden, highlighted, promoted, and based on an objective reputation of one contributor or multiple contributors. A system comprising a processing unit suitable for processing selected from a set of processing schemes consisting of a combination. 31. The method of claim 30, The communication or content media element may be a network site, an intranet site, an internet site, a worldwide website, an email or an email, an interactive bulletin board, an interactive electronic message board, an online information exchange, an email or annotated thread set, an online interactive stock prediction forum. , A system selected from the set consisting of an online forum and any combination thereof. 31. The method of claim 30, The communication or content medium element further comprises (a) means for inputting information and (b) means for displaying information. 31. The method of claim 30, The communication or content filtering element provides a means for sorting, restricting, editing or otherwise modifying the display of input information based on the collected metrics. delete A recording medium having recorded thereon computer executable program instructions for causing a computer to generate processed reputation based communication or content, The computer executable program command is Instructing the first user contribution to obtain at least one objective reputation metric associated with a reputation to predict a state or condition of a future event over a network comprising a plurality of interconnected computers, the computer further comprising: A first computer comprising a first processor and a first memory coupled to the first processor; Identifying a first communication or first content associated with the first user contributor; Instructions for processing the first communication or the first content at a first computer to generate a processed first communication or first content based on the obtained at least one objective reputation metric; Providing the subscriber with the processed first communication or first content; Exchanging the processed first communication or first content provided with a subscriber and receiving a reward from the subscriber, The command to obtain the at least one objective reputation metric is performed using previous input by a user contributor via a graphical forecasting interface, The processing instruction, Obtaining a plurality of previous predictions for at least one particular prediction item state from the first user contributor, wherein the obtaining the previous prediction comprises obtaining at least a portion of the plurality of predictions using a graphical prediction interface; ; Storing the obtained prediction in a database connected to the network; Processing the stored prediction to automatically determine an objective prediction accuracy record from the stored first user contribution prediction by comparing the past prediction state and the subsequent actual state for the same item in correspondence with the prediction date and the prediction time; Instructions for using a detailed objective prediction score for the first user contributor to filter contribution postings made by the first user contributor-the usage instructions obtained by processing the first communication or the first content at the first computer Generating a processed first communication or first content based on at least one objective reputation metric, wherein the filtering operates at a site, message board, bulletin board post or contribution based on the reputation of the user contributor A recording medium having recorded thereon computer executable program instructions comprising; delete delete

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