SYSTEM AND METHOD FOR EVALUATING AND OPTIMIZING MEDIA CONTENT

• US 20130204664A1
• Filed: 02/07/2013
• Published: 08/08/2013
• Est. Priority Date: 02/07/2012
• Status: Active Grant

• Current Assignee: Yeast, LLC
• Original Assignee: Yeast, LLC
• Inventors: ROMAGNOLO, Brent Aaron, PARKES, David Christopher
• Granted Patent: US 10,853,826 B2
• Time in Patent Office: Days
• US Class Current: 705/7.32
• CPC Class Codes: G06Q 30/0203 Market surveys; Market polls

Abstract

Systems and methods are described for evaluating and optimizing media content. A computer system for evaluating media content includes an input interface configured to receive a media content for evaluation by users in an online community, a media content presenter configured to present the media content to the users in the online community for evaluation, an informative signal monitor configured to gather informative signals relating to the media content from the users in the online community, a media content analyzer configured to evaluate the media content based on the informative signals from the users and generate an analysis result relating to the media content, and an incentive calculator configured to determine an incentive to one of the users in the online community based on the informative signals from the one of the users.

Claims

1. A computer system for evaluating media content, comprising:

an input interface configured to receive a media content for evaluation by users in an online community;

a media content presenter configured to present the media content to the users in the online community for evaluation;

an informative signal monitor configured to gather informative signals relating to the media content from the users in the online community;

a media content analyzer configured to evaluate the media content based on the informative signals from the users and generate an analysis result relating to the media content; and

an incentive calculator configured to determine an incentive to one of the users in the online community based on the informative signals from the one of the users.

2. The computer system of claim 1, wherein the incentive calculator is configured to determine the incentive to the one of the users in the online community at least partially based on the analysis result of the media content analyzer.

3. The computer system of claim 2, wherein the incentive calculator is configured to determine the incentive to the one of the users in the online community based on at least one of (1) informative signals from other users in the online community, (2) weight assigned to the informative signals from the one of the users by the media content analyzer in evaluating the media content, (3) correlation between the informative signals from the one of the users and a gold standard action associated with the media content, (4) time of the informative signals from the one of the users relative to time of the informative signals from the other users, (5) matching of the informative signals from the one of the users with the informative signals from the other users, (6) quality of the informative signals from the one of the users, and (7) ranking of the informative signals from the one of the users among the informative signals from the other users.

4. The computer system of claim 1, further comprising:

a media content assessor configured to assess the media content at least partially based on the analysis result of the media content analyzer and an objective function received from the input interface.

5. The computer system of claim 4, wherein the media content assessor is further configured to automatically decide whether the media content is to be optimized then presented to the users in the online community again for evaluation.

6. The computer system of claim 4, wherein the media content assessor is further configured to automatically decide whether the media content is to be optimized then presented to the users in the online community again for evaluation, based on transaction requests received for the media content.

7. The computer system of claim 1, further comprising:

an investment analyzer configured to recommend an investment strategy to an investor at least partially based on the analysis result of the media content analyzer and a risk profile of the investor.

8. The computer system of claim 1, wherein the media content analyzer is configured to evaluate the media content at least partially based on profile information of the users in the online community.

9. The computer system of claim 1, wherein the media content presenter is configured to control access of the users in the online community to the media content.

10. The computer system of claim 1, further comprising:

a media content transaction module configured to facilitate transactions of the media content.

11. The computer system of claim 10, wherein the media content transaction module is configured to auction a right associated with the media content.

12. The computer system of claim 11, wherein the right associated with the media content is one of (1) a right to own the media content;

(2) a right to lease the media content for a period of time;

(3) a right to advertise relating to the media content;

(4) a right to develop a derivative media content relating to the media content; and

(5) a right to influence development of a derivative media content relating to the media content.

13. The computer system of claim 1, wherein the informative signals include at least a user behavior action and a user engagement action.

14. The computer system of claim 13, wherein the user engagement action includes one of (1) expressing emotion;

(2) voting;

(3) defining quality associated with the media content;

(4) predicting a future quantity associated with the media content;

(5) characterizing the media content; and

(6) associating a quantity of on-platform currency with the media content.

15. The computer system of claim 1, further comprising:

a social network interface configured to gather additional feedbacks relating to the media content;

a media content analyzer trainer configured to train the media content analyzer; and

an anti-manipulation module configured to prevent manipulation of the informative signals from the users.

16. The computer system of claim 15, wherein the anti-manipulation module is configured to prevent manipulation of the informative signals from the users at least partially based on profile information of the users in the online community.

17. The computer system of claim 1, wherein the input interface is an application programming interface (API).

18. A computerized method of evaluating media content, comprising:

receiving a media content for evaluation by users in an online community;

presenting the media content to the users in the online community for evaluation;

monitoring informative signals relating to the media content from the users in the online community;

evaluating the media content based on the informative signals from the users and generating an analysis result relating to the media content; and

determining an incentive to one of the users in the online community based on the informative signals from the one of the users.

19. The computerized method of claim 18, further comprising:

determining the incentive to the one of the users in the online community at least partially based on the analysis result of the media content analyzer.

20. The computerized method of claim 19, further comprising:

determining the incentive to the one of the users in the online community at least partially based on one of (1) informative signals from other users in the online community, (2) weight assigned to the informative signals from the one of the users by the media content analyzer in evaluating the media content, (3) correlation between the informative signals from the one of the users and a gold standard action associated with the media content, (4) time of the informative signals from the one of the users relative to time of the informative signals from the other users, (5) matching of the informative signals from the one of the users with the informative signals from the other users, (6) quality of the informative signals from the one of the users, and (7) ranking of the informative signals from the one of the users among the informative signals from the other users.

21. The computerized method of claim 18, further comprising:

assessing the media content at least partially based on the analysis result of the media content analyzer and an objective function received from the input interface.

22. The computerized method of claim 18, further comprising:

automatically deciding whether the media content is to be optimized then presented to the users in the online community again for evaluation.

23. The computerized method of claim 18, further comprising:

automatically deciding whether the media content is to be optimized then presented to the users in the online community again for evaluation, based on transaction requests received for the media content.

24. The computerized method of claim 18, further comprising:

recommending an investment strategy to an investor at least partially based on the analysis result of the media content analyzer and a risk profile of the investor.

25. The computerized method of claim 18, further comprising:

evaluating the media content at least partially based on profile information of the users in the online community.

26. The computerized method of claim 18, further comprising:

controlling access of the users in the online community to the media content.

27. The computerized method of claim 18, further comprising:

facilitating transactions of the media content.

28. The computerized method of claim 27, further comprising:

auctioning a right associated with the media content.

29. The computerized method of claim 28, wherein the right associated with the media content is one of (1) a right to own the media content;

(2) a right to lease the media content for a period of time;

(3) a right to advertise relating to the media content;

(4) a right to develop a derivative media content relating to the media content; and

(5) a right to influence development of a derivative media content relating to the media content.

30. The computerized method of claim 18, wherein the informative signals include at least a user behavior action and a user engagement action.

31. The computerized method of claim 30, wherein the user engagement action includes one of (1) expressing emotion;

(2) voting;

(3) defining quality associated with the media content;

(4) predicting a future quantity associated with the media content;

(5) characterizing the media content; and

(6) associating a quantity of on-platform currency with the media content.

32. The computerized method of claim 18, further comprising:

gathering additional feedbacks relating to the media content;

training the media content analyzer; and

preventing manipulation of the informative signals from the users.

33. The computerized method of claim 32, further comprising:

preventing manipulation of the informative signals from the users at least partially based on profile information of the users in the online community.

34. A non-transitory computer readable medium having executable instructions operable to, when executed by a computer, cause the computer to:

receive a media content for evaluation by users in an online community;

present the media content to the users in the online community for evaluation;

monitor informative signals relating to the media content from the users in the online community;

evaluate the media content at least partially based on the informative signals from the users and generating an analysis result relating to the media content; and

determine an incentive to one of the users in the online community at least partially based on the informative signals from the one of the users.