Automated digital media content filtration based on relationship monitoring

• US 8,719,408 B2
• Filed: 09/06/2012
• Issued: 05/06/2014
• Est. Priority Date: 06/06/2008
• Status: Expired due to Fees

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Carter, Bernadette A., Chang, Belinda Y., Li, Fuyi, Nesbitt, Pamela A., Ryan, Anne I., Seacat, Lisa A.
• Primary Examiner(s): LE, CHAU D
• Application Number:
  US13/604,765
• Publication Number:
  US 20120331141A1
• Time in Patent Office: 607 Days
• Field of Search: 709/223, 709/224, 709/227, 709/231, 709/238
• US Class Current: 709/224
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

Automated digital media content filtration is performed by establishing automatically, according to a tolerance parameter, a plurality of user relationships, each user relationship based on monitoring an online association between a user and a content producer. Filtration is also performed by monitoring determined user relationships, interacting with a plurality of independent servers to identify digital media content published by content producers having a user relationship with the user and determining a relevancy weight for each published digital media content item, the relevancy based on a strength factor. Filtration is still further performed by presenting the digital media content published by one or more of the content producers to the user such that digital media content having a greater relevancy weight receives a higher priority than other digital media content available to the user from the plurality of content producers.

Claims

1. A method for automated digital media content filtration based on relationship monitoring, the method comprising:

establishing automatically, by a processor, according to a tolerance parameter, a plurality of user relationships, each user relationship based on monitoring an online association between a user and a content producer;

monitoring determined user relationships for relationship interactions;

interacting with a plurality of independent servers as a third party to identify digital media content published by content producers having one of the user relationships with the user from the plurality of user relationships, the digital media content comprising at least one digital media content item;

determining a relevancy weight for each published digital media content item, the relevancy based on a strength factor derived on monitored relationship interactions between the user and the content producer that published the published digital media content; and

presenting the digital media content published by one or more of the content producers to the user such that digital media content having a greater relevancy weight receives a higher priority than other digital media content available to the user from the plurality of content producers.

2. The method of claim 1 wherein presenting the digital media content further comprises pushing a set of published digital media content items to a media aggregator based on the relevancy weight of each digital media content item and a user-configurable relevancy threshold, the media aggregator and user-configurable relevancy threshold defined in a media aggregator profile associated with the user.

3. The method of claim 1 wherein monitoring determined user relationships further comprises detecting profile compatibility between a user profile and a content producer profile and modifying the associated user relationship to reflect the profile compatibility.

4. The method of claim 3 wherein detecting profile compatibility further comprises detecting profile compatibility based at least in part on one or more mutual interests between the user and the content producer that published the published digital media content.

5. The method of claim 1 wherein presenting the digital media content further comprises filtering a set of published digital media content items based on the relevancy weight of each digital media content item and a user-configurable relevancy threshold.

6. The method of claim 1 wherein presenting the digital media content further comprises ranking a set of published digital media content items based on the relevancy weight of each digital media content items.

7. The method of claim 1 wherein establishing a plurality of user relationships comprises establishing a plurality of user relationships defined within a social networking internet site.

8. The method of claim 1 wherein determining a relevancy weight for each published digital media content item based on a strength factor comprises deriving the strength factor at least in part from user-configurable weighing criteria.

9. A computer-readable storage device with an executable program stored thereon, wherein the program instructs a processor to perform:

establishing automatically, according to a tolerance parameter, a plurality of user relationships, each user relationship based on monitoring an online association between a user and a content producer;

monitoring determined user relationships for relationship interactions;

interacting with a plurality of independent servers as a third party, to identify digital media content published by content producers having one of the user relationships with the user from the plurality of user relationships, the digital media content comprising at least one digital media content item;

determining a relevancy weight for each published digital media content item, the relevancy based on a strength factor derived on monitored relationship interactions between the user and the content producer that published the published digital media content; and

presenting the digital media content published by one or more of the content producers to the user such that digital media content having a greater relevancy weight receives a higher priority than other digital media content available to the user from the plurality of content producers.

10. The computer-readable storage device of claim 9 wherein the executable program for presenting the digital media content further comprises executable program code for pushing a set of published digital media content items to a media aggregator based on the relevancy weight of each digital media content item and a user-configurable relevancy threshold, the media aggregator and user-configurable relevancy threshold defined in a media aggregator profile associated with the user.

11. The computer-readable storage device of claim 9 wherein the executable program for monitoring determined user relationships further comprises executable program code for detecting profile compatibility between a user profile and a content producer profile and modifying the associated user relationship to reflect the profile compatibility.

12. The computer-readable storage device of claim 11 wherein the executable program for detecting profile compatibility further comprises executable program code for detecting profile compatibility based at least in part on one or more mutual interests between the user and the content producer that published the published digital media content.

13. The computer-readable storage device of claim 9 wherein the executable program for presenting the digital media content further comprises executable program code for filtering a set of published digital media content items based on the relevancy weight of each digital media content item and a user-configurable relevancy threshold.

14. The computer-readable storage device of claim 9 wherein the executable program for presenting the digital media content further comprises executable program code for ranking a set of published digital media content items based on the relevancy weight of each digital media content items.

15. The computer-readable storage device of claim 9 wherein the executable program for establishing a plurality of user relationships comprises executable program code for establishing a plurality of user relationships defined within a social networking internet site.

16. The computer-readable storage device of claim 9 wherein the executable program for determining a relevancy weight for each published digital media content item based on a strength factor comprises executable program code for deriving the strength factor at least in part from user-configurable weighing criteria.

17. An apparatus for automated digital media content filtration based on relationship monitoring, the apparatus comprising:

a processor coupled to memory, the processor programmed by program code stored in the memory to implement;

a relationship module configured to establish automatically, according to a tolerance parameter, a plurality of user relationships, each user relationship based on monitoring an online association between a user and a content producer;

a monitoring module configured to monitor determined user relationships for relationship interactions;

a detection module configured to interact with a plurality of independent servers as a third party, to identify digital media content published by content producers having one of the user relationships with the user from the plurality of user relationships, the digital media content comprising at least one digital media content item;

a determination module configured to determine a relevancy weight for each published digital media content item, the relevancy based on a strength factor derived on monitored relationship interactions between the user and the content producer that published the published digital media content; and

a presentation module configured to present the digital media content published by one or more of the content producers to the user such that digital media content having a greater relevancy weight receives a higher priority than other digital media content available to the user from the plurality of content producers.

18. The apparatus of claim 17 wherein the executable program for presenting the digital media content further comprises executable program code for pushing a set of published digital media content items to a media aggregator based on the relevancy weight of each digital media content item and a user-configurable relevancy threshold, the media aggregator and user-configurable relevancy threshold defined in a media aggregator profile associated with the user.

19. The apparatus of claim 17 wherein the executable program for monitoring determined user relationships further comprises executable program code for detecting profile compatibility between a user profile and a content producer profile and modifying the associated user relationship to reflect the profile compatibility.

20. The apparatus of claim 19 wherein the executable program for detecting profile compatibility further comprises executable program code for detecting profile compatibility based at least in part on one or more mutual interests between the user and the content producer that published the published digital media content.

21. The apparatus of claim 17 wherein the executable program for presenting the digital media content further comprises executable program code for filtering a set of published digital media content items based on the relevancy weight of each digital media content item and a user-configurable relevancy threshold.

22. The apparatus of claim 17 wherein the executable program for presenting the digital media content further comprises executable program code for ranking a set of published digital media content items based on the relevancy weight of each digital media content items.

23. The apparatus of claim 17 wherein the executable program for establishing a plurality of user relationships comprises executable program code for establishing a plurality of user relationships defined within a social networking internet site.

24. The apparatus of claim 17 wherein the executable program for determining a relevancy weight for each published digital media content item based on a strength factor comprises executable program code for deriving the strength factor at least in part from user-configurable weighing criteria.