SYSTEMS, METHODS AND APPARATUS FOR PROVIDING MEDIA CONTENT

• US 20110060649A1
• Filed: 04/14/2009
• Published: 03/10/2011
• Est. Priority Date: 04/11/2008
• Status: Abandoned Application

• Current Assignee: D2L Corporation
• Original Assignee: D2L Corporation
• Inventors: McCaull, Emmanuel, Kahandaliyanage, Shawn, Dunk, Craig A., Kruis, David, Smith, Andrew, Xu, Zhiguo, Whiteley, Tudor, Gilhuly, Barry
• Application Number:
  US12/937,449
• Publication Number:
  US 20110060649A1
• Time in Patent Office: Days
• US Class Current: 705/14.53
• CPC Class Codes: G06F 16/41 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/437 Administration of user profiles, e.g. generation, initialisation, adaptation, distribution
• CPC Class Codes: G06F 16/48 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04L 67/75 Indicating network or usage conditions on the user display

Abstract

A system for providing media content, including at least one media server, at least one database connected to the at least one media server, each database configured to store a plurality of media content, and at least one device configured for data communication with the at least one media server, each device associated with at least one user. Each media server is configured to determine a relevance between each particular media content and each particular user, and based on each relevance, determine whether to provide that particular media content to the device associated with that particular user.

Claims

1. A system for providing media content, comprising:

a) at least one media server;

b) at least one database connected to the at least one media server, each database configured to store a plurality of media content; and

c) at least one device configured for data communication with the at least one media server, each device associated with at least one user;

d) wherein each media server is configured to;

i) determine a relevance between each particular media content and each particular user, and

ii) based on each relevance, determine whether to provide that particular media content to the device associated with that particular user.

2. The system of claim 1, wherein each relevance is determined by a relevance engine and is based on metadata associated with the particular media content and the particular user.

3. The system of claim 1, wherein the metadata includes at least one of:

a) previously expressed interests by that particular user for other media content;

b) previously expressed interests of other users for other media content;

c) previously expressed interests of other users for that particular media content;

d) keywords associated with that particular media content;

e) keywords associated with that particular user; and

f) a relevance between that particular media content and other media content.

4. The system of claim 1, wherein the relevance is based on at least one classification algorithm.

5. The system of claim 4, wherein the classification algorithm includes a Bayesian filter.

6. The system of claim 3, wherein the previously expressed interests by that particular user includes ratings by that particular user of other media content indicative of that particular user'"'"'s interest in a subject matter associated with the other media content.

7. The system of claim 3, wherein the previously expressed interest by that particular user includes rankings by that user of the other media content indicative of that particular user'"'"'s perception of the quality of the other media content.

8. The system of claim 2, wherein the relevance engine is configured to create at least one cluster of users based on similarities in the media content consumed by those users.

9. The system of claim 8, wherein the relevance of particular media content to each user is determined at least in part by the membership of that particular user in the at least one cluster and relevance of that particular media content to that cluster.

10. The system of claim 1, wherein the media server is further configured to determine whether to provide particular media content to the device based on a personalized content quantity determination that estimates a quantity of media consumption for that device.

11. The system of claim 10 wherein the personalized content quantity determinations uses an access profile associated with the device that contains information about the media content consumption behavior for that device.

12. The system of claim 1, wherein at least one of the devices is a mobile communication device configured to operate in a high bandwidth communication state and a reduced bandwidth communication state, and wherein the media server is configured to provide the particular media content to the device when the device is in high bandwidth communication state but not when the device is in a reduced bandwidth communication state.

13. The system of claim 12, wherein determining whether to provide particular media content to the device is at least partially based on an estimate of how often the device is in a reduced bandwidth communication state.

14. The system of claim 12, wherein the reduced bandwidth communication state includes a non-communication state.

15. The system of claim 1, wherein the media server is configured to communicate with at least one social networking application, and wherein the media server determines whether to provide particular media content to the device based on data associated with the social networking application.

16. The system of claim 15, wherein the at least one social networking application include at least one of blogs, forums, websites, and other applications that permit community participation.

17. The system of claim 15, wherein the at least one social networking application is a media content source website configured to receive user engagement related to the media content provided on the website.

18. The system of claim 1 wherein the media content includes advertising content.

19. The system of claim 18, wherein the advertising content is interactive and permits the user to execute transactions relating to the advertising content.

20. The system of claim 19, wherein when at least one transaction is initiated while the device is in a reduced bandwidth communication state, information required to complete the transaction is temporarily stored, and then the information is subsequently used to complete the transaction when the device is in a high bandwidth communication state.

21. The system of claim 1, wherein each relevance is at least partially based on a prediction of a popularity of that particular media content.

22. A method for providing media content, comprising:

a) providing at least one media server;

b) providing at least one database connected to the at least one media server, each database configured to store a plurality of media content; and

c) providing at least one device configured for data communication with the at least one media server, each device associated with at least one user;

d) determining a relevance between each particular media content and each particular user;

e) based on each relevance, determining whether to provide that particular media content to the device associated with that particular user.

23. The method of claim 22, wherein each relevance is based on metadata associated with the particular media content and the particular user.

24. The method of claim 22, wherein the metadata includes at least one of:

a) previously expressed interests by that particular user for other media content;

b) previously expressed interests of other users for other media content;

c) previously expressed interests of other users for that particular media content; and

d) keywords associated with that particular media content;

e) keywords associated with that particular user; and

f) a relevance between that particular media content and other media content.

25. The method of claim 22, wherein the relevance is based on at least one classification algorithm.

26. The method of claim 25, wherein the classification algorithm includes a Bayesian filter.

27. The method of claim 24, wherein the previously expressed interest by that particular user includes ratings by that particular user of other media content indicative of that particular user'"'"'s interest in a subject matter associated with the other media content.

28. The method of claim 24, wherein the previously expressed interest by that particular user includes rankings by that user of the other media content indicative of that particular user'"'"'s perception of the quality of the other media content.

29. The method of claim 23, further comprising creating at least one cluster of users based on similarities in the media content consumed by those users.

30. The method of claim 29, wherein the relevance of particular media content to each user is determined at least in part by the membership of that particular user in the at least one cluster and relevance of that particular media content to that cluster.

31. The method of claim 22, further comprising determining whether to provide particular media content to the device based on a personalized content quantity determination that estimates a quantity of media consumption for that device.

32. The method of claim 31 wherein the personalized content quantity determinations uses an access profile associated with the device that contains information about the media content consumption behavior for that device.

33. The method of claim 22, wherein at least one of the devices is a mobile communication device configured to operate in a high bandwidth communication state and a reduced bandwidth communication state, and further comprising the step of providing the particular media content to the device when the device is in high bandwidth communication state but not when the device is in a reduced bandwidth communication state.

34. The method of claim 33, wherein determining whether to provide particular media content to the device is at least partially based on an estimate of how often the device is in a reduced bandwidth communication state.

35. The method of claim 33, wherein the reduced bandwidth communication state includes a non-communication state.

36. The method of claim 22, further comprising the steps of communicating with at least one social networking application, and determining whether to provide particular media content to the device based on data associated with the social networking application.

37. The method of claim 36, wherein the at least one social networking application include at least one of blogs, forums, websites, and other applications that permit community participation.

38. The method of claim 36, wherein the at least one social networking application is a media content source website configured to receive user engagement related to the media content provided on the website.

39. The method of claim 22 wherein the media content includes advertising content.

40. The method of claim 39, wherein the advertising content is interactive further comprising executing transactions relating to the advertising content.

41. The method of claim 40, further comprising the steps initiating at least one transaction while the device is in a reduced bandwidth communication state, storing information required to complete the transaction temporarily, and then subsequently completing the transaction using the information when the device is in a high bandwidth communication state.

42. The method of claim 22, wherein each relevance is at least partially based on a prediction of a popularity of that particular media content.

43. A physical computer readable medium including computer executable instructions which, when executed on a computing device, cause the computing device to:

a) determine a relevance between each particular media content of a plurality of media content and each particular user of a plurality of users; and

b) based on each relevance, determining whether to provide that particular media content to a device associated with that particular user.

44. The physical computer readable medium of claim 43, wherein each relevance is based on metadata associated with the particular media content and the particular user.

45. The physical computer readable medium of claim 44, wherein the metadata includes at least one of:

a) previously expressed interests by that particular user for other media content;

b) previously expressed interests of other users for other media content;

c) previously expressed interests of other users for that particular media content; and

d) keywords associated with that particular media content;

e) keywords associated with that particular user; and

f) a relevance between that particular media content and other media content.