Collaborative content evaluation

• US 20080162265A1
• Filed: 12/28/2006
• Published: 07/03/2008
• Est. Priority Date: 12/28/2006
• Status: Active Grant

• Current Assignee: eBay Inc.
• Original Assignee: eBay Inc.
• Inventors: Sundaresan, Neelakantan, Lee, Hendrick
• Granted Patent: US 7,711,684 B2
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 10/067 Enterprise or organisation modelling
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 51/046 Interoperability with other network applications or services
• CPC Class Codes: H04L 63/1408 by monitoring network traffic monitoring network traffic per se H04L43/00
• CPC Class Codes: H04L 67/01 Protocols
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/54 Presence management, e.g. monitoring or registration for receipt of user log-on information, or the connection status of the users
• CPC Class Codes: H04L 67/55 Push-based network services

Abstract

A method and system determines respective reputation values for one or more users of a network-based community, the respective reputation values being based on one or more user attributes associated with the one or more users. The method and system receives o content included in one or more communications from one or more respective users, the one or more communications identifying the content as objectionable within a network-based community and then evaluates the content based on respective reputation values of the one or more users to determine an action to take with respect to the content.

Claims

1. A system, including:

a reputation module to determine respective reputation values for one or more users of a network-based community, the respective reputation values being based on one or more user attributes associated with the one or more users;

a reporting module to receive a communication from the one or more users identifying the content as objectionable within the network-based community; and

an evaluation module to evaluate content based on the respective reputation values of the one or more users.

2. The system of claim 1, wherein the evaluation module is also to evaluate the content based on one or more content attributes.

3. The system of claim 1, wherein the evaluation module is to remove the content based on a result of the evaluation of the content.

4. The system of claim 1, wherein the evaluation module is to remove the content identified by the one or more users when the respective reputation values of the one or more users exceeds a threshold value.

5. The system of claim 1, wherein the evaluation module is to transfer the content to an administrator, wherein the administrator includes at least one administrator selected from a list of administrators including a customer service representative and one or more other users, the one or more other users having respective reputation values greater than a threshold value.

6. The system of claim 1, wherein the evaluation module is to ignore the communication when the respective reputation values of the one or more users is below a threshold value.

7. The system of claim 1, wherein the reputation module is to adjust the respective reputation values of the one or more users based on validating the content as objectionable.

8. The system of claim 7, wherein the evaluation module is to receive a communication from an administrator confirming the content as objectionable and the reputation module to increase the respective reputation values of the one or more users based on the administrator confirming the content as objectionable.

9. The system of claim 7, wherein the evaluation module is to receive a communication from an administrator identifying the content as not objectionable and the reputation module to decrease the respective reputation values of the one or more users based on the administrator identifying the content as not objectionable.

10. A method, including:

receiving in a networked system, content included in one or more communications from one or more respective users, the one or more communications identifying the content as objectionable within a network-based community; and

evaluating the content based on respective reputation values of the one or more users to determine an action to take with respect to the content.

11. The method of claim 10, including evaluating the content based on one or more content attributes.

12. The method of claim 10, wherein the action to take with respect to the content includes removing the content.

13. The method of claim 10, wherein the action to take with respect to the content includes removing the content identified by the one or more users when the respective reputation values of the one or more users exceeds a threshold value.

14. The method of claim 10, wherein the evaluating the content includes transferring the content to an administrator, wherein the administrator includes at least one administrator selected from a list of possible administrators consisting of a customer service representative and one or more other users, the one or more other users having respective reputation values greater than a threshold value.

15. The method of claim 14, wherein the transferring the content to an administrator is based on at least one content attribute.

16. The method of claim 10, wherein the evaluating the content includes transferring the content to an administrator when the respective reputation values of the one or more users is between a lower threshold value and an upper threshold value.

17. The method of claim 10, wherein the evaluating the content includes communicating the content to a queue associated with an administrator based on the respective reputation values of the one or more users.

18. The method of claim 10, wherein the evaluating the content includes transferring the content to an administrator when the respective reputation values of the one or more users is within a range of threshold values.

19. The method of claim 10, wherein the action to take with respect to the content includes ignoring the communication when the respective reputation values of the one or more users is below a threshold value.

20. The method of claim 10, wherein the evaluating the content includes determining the content is objectionable and adjusting the respective reputation values of the one or more users.

21. The method of claim 20, wherein the determining the content as objectionable includes receiving a communication from an administrator confirming the content as objectionable and increasing the respective reputation values of the one or more users based on the administrator confirming the content as objectionable.

22. The method of claim 20, wherein the determining the content as objectionable includes receiving a communication from an administrator identifying the content as not objectionable and decreasing the respective reputation values of the one or more users based on the administrator identifying the content as not objectionable.

23. The method of claim 10, wherein the one or more user attributes include at least one user attribute from a list of user attributes consisting of a buyer reputation, a seller reputation, a prior reputation for identifying objectionable content, a reputation in a category, and associations with one or more other users and their respective associated feedback.

24. The method of claim 10, wherein evaluating the content includes determining the content is fraudulent data associated with a listing published in the network-based community.

25. The method of claim 10, wherein evaluating the content includes identifying a user associated with the content.

26. A machine-readable medium that includes instructions to be executed by a machine, the instructions when executed cause the machine to:

determine respective reputation values for one or more users of a network-based community, the respective reputation values being based on one or more user attributes associated with the one or more users;

receive a communication from the one or more users identifying content as objectionable within the network-based community; and

evaluate the content based on the reputation value of the one or more users.