Method and apparatus for conducting an information brokering service

• US 10,510,087 B2
• Filed: 07/07/2006
• Issued: 12/17/2019
• Est. Priority Date: 07/07/2005
• Status: Active Grant

• Current Assignee: Sermo, Inc. (Worldone Incorporated)
• Original Assignee: Sermo, Inc. (Worldone Incorporated)
• Inventors: Palestrant, Daniel, Gardner, Graham
• Primary Examiner(s): Mansfield, Thomas L
• Application Number:
  US11/483,147
• Publication Number:
  US 20070055610A1
• Time in Patent Office: 4,911 Days
• Field of Search: None
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 10/0631 Resource planning, allocation, distributing or scheduling for enterprises or organisations
• CPC Class Codes: G06Q 10/06375 Prediction of business process outcome or impact based on a proposed change
• CPC Class Codes: G06Q 10/06395 Quality analysis or management
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 10/101 Collaborative creation, e.g. joint development of products or services
• CPC Class Codes: G06Q 30/00 Commerce
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06Q 30/0203 Market surveys; Market polls
• CPC Class Codes: G06Q 30/0277 Online advertisement
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G06Q 30/0641 Shopping interfaces
• CPC Class Codes: G06Q 30/08 Auctions
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

A system and method is provided that provides an early indication of consensus of opinion among a number of users regarding an event or observation indicated by a user. The opinion can be interesting to an information consumer, for determining the outcome of the consensus relating to the event or observation, or for performing surveillance or survey of a particular issue or subject. Such recognition of early events or observations can be useful in different areas, such as healthcare, finance, etc., where initial observations, if provided early, allow resulting decisions to be made much earlier. The opinion can, for instance, be used as an early indicator of problem with a product, company, etc. that would permit an information consumer to perform an action at a much earlier point than if he/she relied on traditional sources of information. Thus, such opinion information can be invaluable as a tool for monitoring events.

Claims

1. A computer implemented method for generating a consensus regarding a future event in an online ecosystem, the method comprising acts of:

permitting access to the online ecosystem, hosted by a distributed computer system through a web based interface to registered users, wherein the registered users of the online ecosystem include content generating users, and the content generating users dynamically create content for the online ecosystem, wherein the dynamic content includes respective opinions submitted by the content generating users, and wherein the respective opinions include respective opinions regarding defined predictions;

permitting, in the web based interface displayed on a host computer system, at least one registered user to define a prediction of an event;

defining, in the online ecosystem, a trigger by at least one other user, the trigger being activated by at least one parameter associated with the prediction of the event defined by the at least one registered user, wherein the at least one other user is at least one content generating user;

monitoring the online ecosystem to detect the creation of the prediction of the event including the at least one parameter;

providing an indication to the at least one other user that the trigger was activated;

accepting, in the web based interface displayed on another host computer system, from at least one other user, an opinion regarding the defined prediction, wherein the act of accepting the opinion regarding the defined prediction includes an act of providing the at least one other user free access to the online ecosystem and free access to the defined prediction;

ranking, by the distributed computer system, the at least one content generating user, wherein the act of ranking includes determining a level of participation in the online ecosystem, calculating a value determined from opinions submitted by other content generating users of the online ecosystem regarding the at least one content generating user'"'"'s participation in the online ecosystem, and combining the determined level of participation and the value determined from opinions submitted by the other content generating users to determine the at least one content generating user'"'"'s rank;

generating, by the distributed computer system, a consensus regarding the defined prediction based on at least the opinion regarding the defined prediction and the rank of the at least one content generating user that submitted the opinion regarding the defined prediction; and

compensating, by the distributed computer system, the at least one content generating user that submitted the opinion based on at least the rank of the at least one content generating user that submitted the opinion;

control access by information consumer users to the created prediction, the opinion regarding the defined prediction, and the consensus regarding the defined prediction; and

restricting access by information consumer users to the plurality of accepted opinions, wherein the act of restricting access includes permitting access by at least one information consumer to the plurality of accepted opinions in response to receiving payment from the at least one information consumer for access;

wherein the act of compensating is executed automatically by the system using the payment received from the at least one information consumer.

2. The method according to claim 1, wherein the at least one content generating user does not place a wager to qualify for being compensated.

3. The method according to claim 1, wherein the prediction of the event is defined by the at least one user without intervention of an operator of the online ecosystem.

4. The method according to claim 1, further comprising an act of paying, by an information consumer, for opinion information relating to the prediction of the event.

5. The method according to claim 4, wherein the act of paying does not depend on whether the prediction of the event is correct.

6. The method according to claim 4, wherein the act of paying is independent of the outcome of the event.

7. The method according to claim 1, further comprising an act of determining a value of the opinion information.

8. The method according to claim 7, further comprising an act of conducting a bid process among a plurality of information consumers, and wherein a result of the bid process determines the value of the opinion information.

9. The method according to claim 1, further comprising an act of compensating the at least one user if the opinion is correct.

10. The method according to claim 1, wherein the online ecosystem is further characterized by having content included within the online ecosystem generated by the content generating users;

and wherein the method further comprises;

permitting, in a user interface, payment based access to the content included in the online ecosystem generated by the content generating users by another plurality of registered users, wherein the another plurality of registered users comprise information consumers.

11. The method according to claim 10, further comprising an act of providing, a user interface to at least one information consumer, wherein the user interface is configured to:

notify the at least one information consumer of the defined prediction of the event, and

permit the at least one information consumer to access the at least one other content generating user'"'"'s opinion regarding the defined prediction.

20. The method according to claim 1, wherein the act of compensating the at least one other content generating user, occurs in response to a determination that the opinion regarding the defined prediction is correct.

21. The method according to claim 1, wherein the consensus is based at least in part on a total number opinions, the rank of the content generating users associated with the opinions, and an indicated agreement or disagreement of each opinion with respect to the defined prediction.

12. A system for generating a consensus regarding a future event in an online ecosystem, the system comprising:

at least one processor;

a computer interface component, executed by the at least one processor, configured to permit access to an online ecosystem by a plurality of registered users in a display, wherein the plurality of registered users are comprised of content generating users;

a generation component, executed by the at least one processor, configured to permit, in a user interface, at least one content generating user to define a prediction of an event;

a trigger component, executed by the at least one processor, configured to permit at least one other user to define a trigger, the trigger being activated by at least one parameter associated with the prediction of the event defined by the at least one content generating user, wherein the at least one other user is at least one content generating user, and further configured to monitor the online ecosystem to detect the creation of the prediction of the event including the at least one parameter;

a notification component configured to provide an indication to the at least one other user that the trigger was activated;

an access component, executed by the at least one processor, configured to permit at least one other content generating user free access to the defined prediction of the event and the online ecosystem;

a collection component, executed by the at least one processor, configured to accept from the at least one other content generating user, an opinion regarding the defined prediction;

a ranking component, executed by the at least one processor, configured to rank at least one content generating user at least in part by determining a level of participation in the online ecosystem, calculating a value determined from opinions submitted by other content generating users of the online ecosystem regarding the at least one content generating user'"'"'s participation in the online ecosystem, and combining the determined level of participation and the value determined from opinions submitted by the other content generating users to determine the at least one content generating user'"'"'s rank;

a consensus component, executed by the at least one processor, configured to generate a consensus regarding the defined prediction based on at least the opinion regarding the defined prediction and the rank of the at least one content generating user that submitted the opinion regarding the defined prediction; and

a compensation component, executed by the at least one processor, configured to compensate the at least one content generating user that submitted the opinion based on at least the rank of the at least one content generating user that submitted the opinion;

wherein the system is further configured to;

control access by information consumer users to the created prediction, the opinion regarding the defined prediction, and the consensus regarding the defined prediction; and

restrict access by information consumer users to the plurality of accepted opinions,

wherein the act of restricting access includes permitting access by at least one information consumer to the plurality of accepted opinions in response to receiving payment from the at least one information consumer for access; and

wherein the execution of compensation functions is executed automatically by the system using the payments received from the at least one information consumer.

13. The system according to claim 12, wherein the compensation component is further configured to determine that the opinion regarding the defined prediction was correct responsive to the determined consensus.

14. The system according to claim 12, wherein the compensation component is further configured to query an external system to determine that the opinion regarding the defined prediction was correct.

15. The system according to claim 12, wherein the system further comprises:

a storage component configured to store content generated by the content generating users, the content including the prediction of the event and the opinion regarding the defined prediction of the event; and

another computer interface configured to permit payment based access to the content generated by the content generating users by another plurality of registered users, wherein the another plurality of registered users comprise information consumers.

16. The system according to claim 15, wherein the another computer interface is configured to provide access to the opinion regarding the prediction of the event responsive to the at least one information consumer entering into a subscription.

17. The system according to claim 15, where the another computer interface is configured to:

provide access to the defined prediction of the event by the at least one information consumer; and

provide access to the opinion regarding the defined prediction of the event in response to the system processing payment for access to the opinion.

18. The system according to claim 12, wherein the compensation component is further configured to compensate the at least one other content generating user in response to a determination that that the opinion regarding the defined prediction was correct.

19. The system according to claim 12, wherein the compensation component is further configured to compensate the at least one content generating user in response a determination that the defined prediction is correct.