AUTOMATED DIGITAL MEDIA CONTENT FILTRATION BASED ON RELATIONSHIP MONITORING

• US 20090307345A1
• Filed: 06/06/2008
• Published: 12/10/2009
• Est. Priority Date: 06/06/2008
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Seacat, Lisa A., Nesbitt, Pamela A., Ryan, Anne I., Chang, Belinda Y., Carter, Bernadette A., Li, Fuyi
• Granted Patent: US 8,307,066 B2
• Time in Patent Office: Days
• US Class Current: 709/224
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

An apparatus, system, and method are disclosed for automated digital media content filtration based on relationship monitoring. The method determines a plurality of user relationships based at least in part on an online association between a user and a content producer. The method monitors each user relationship with each content producer for a relationship interaction between the user and the content producer. Furthermore, the method also identifies digital media content published by a content producer having a relationship with the user. A determined relevancy may be based on a strength factor derived at least in part on monitored relationship interactions between the user and the content producer that published the digital media content. The digital media content is presented to the user, with that having a greater relevancy weight having a higher priority than other digital media content available to the user from other content producers.

Claims

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

determining a plurality of user relationships, each user relationship based at least in part on an online association between a user and a content producer;

monitoring each user relationship with each content producer for a relationship interaction between the user and the content producer;

identifying digital media content published by the content producer 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 at least in part 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 monitoring 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.

3. The method of claim 2, wherein the profile compatibility is 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.

4. The method of claim 1, wherein presenting 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.

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

6. The method of claim 1, wherein presenting 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.

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

8. The method of claim 1, wherein the strength factor is derived at least in part from user-configurable weighing criteria.

9. The method of claim 6, wherein the media aggregator comprises a social networking internet site, the social networking internet site configured to store and present digital media content.

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

a relationship module configured to determine a plurality of user relationships, each user relationship based at least in part on an online association between a user and a content producer;

a monitoring module configured to monitor each user relationship with each content producer for a relationship interaction between the user and the content producer;

a detection module configured to detect digital media content published by a content producer having a user relationship with the user, 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 at least in part 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 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.

11. The apparatus of claim 10, wherein the relationship module further comprises a compatibility module configured to detect profile compatibility between a user profile and a content producer profile and modifying the associated user relationship to reflect the profile compatibility.

12. The apparatus of claim 11, wherein the profile compatibility is 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 apparatus of claim 10, wherein the presentation module further comprises a filtering module configured to filter 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 apparatus of claim 10, wherein the presentation module further comprises a ranking module configured to rank a set of published digital media content items based on the relevancy weight of each digital media content item.

15. The apparatus of claim 10, wherein the presentation module further comprises a media module configured to push a set of published digital media content to a media aggregator based on the relevancy weight of each media content and a user-configurable relevancy threshold, the media aggregator and user-configurable relevancy threshold defined in a media aggregator profile associated with the user.

16. The apparatus of claim 10, wherein the strength factor is derived at least in part from user-configurable weighing criteria.

17. The apparatus of claim 10, wherein the content producer comprises a social networking website, the social networking website configured to publish digital media content to a user.

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

a network configured to communicate data between a plurality of devices;

a social networking server in communication with the network;

a client in communication with the network, the client comprising a media aggregator; and

a media filtering server in communication with the network, the media filtering server comprising;

a relationship module configured to determine a plurality of user relationships, each user relationship based at least in part on an online association between a user and a content producer;

a monitoring module configured to monitor each user relationship with each content producer for a relationship interaction between the user and the content producer;

a detection module configured to detect digital media content published by a content producer having a user relationship with the user, 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 at least in part 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 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.

19. The system of claim 18, wherein the relationship module further comprises a compatibility module configured to detect a profile compatibility between a user profile and a content producer profile and modifying the associated user relationship to reflect the profile compatibility.

20. The system of claim 19, wherein the profile compatibility is 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 system of claim 18, wherein the presentation module further comprises a filtering module configured to filter 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 system of claim 18, wherein the presentation module further comprises a ranking module configured to rank a set of published digital media content items based on the relevancy weight of each digital media content item.

23. The system of claim 18, wherein the presentation module further comprises a media module configured to push a set of published media content to a media aggregator based on the relevancy weight of each media content and a user-configurable relevancy threshold, the media aggregator and user-configurable relevancy threshold defined in a media aggregator profile associated with the user.

24. The system of claim 18, wherein the strength factor is derived at least in part from user-configurable weighing criteria.

25. A computer program product for automated digital media content filtration on a social networking website based on relationship monitoring, the operations of the computer program product comprising:

determining a plurality of user relationships, each user relationship based at least in part on an online association between a user and a content producer;

monitoring each user relationship with each content producer for a relationship interaction between the user and the content producer;

detecting digital media content published by the content producer 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 at least in part on monitored relationship interactions between the user and the content producer that published the published digital media content; and

pushing a set of published media content to a media aggregator based on the relevancy weight of each media content and a user-configurable relevancy threshold, the media aggregator and user-configurable relevancy threshold defined in a media publication profile associated with the user.