Media content tagging on a social network

• US 20090150786A1
• Filed: 12/10/2007
• Published: 06/11/2009
• Est. Priority Date: 12/10/2007
• Status: Abandoned Application

• Current Assignee: Invent.ly LLC
• Original Assignee: Invent.ly LLC
• Inventors: Brown, Stephen J.
• Application Number:
  US12/001,229
• Publication Number:
  US 20090150786A1
• Time in Patent Office: Days
• US Class Current: 715/733
• 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: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: H04L 67/306 User profiles

Abstract

Tagging media content based on ratings by users of a computer implemented social network and recommending the tagged media content are provided. Content modules containing audio, video, or audio-video content are accessible to users of a social network. Each user of the social network has an updatable user profile with one or more user attributes to characterize the current state of the user. The users can rate the content modules with ratings related to the user attributes. Characterization of a content module is accomplished by the accumulation of user ratings for the content module and assigning one or more tags to the content module. The tags are also related to the user attributes. The content module tags and user attributes are used to recommend one or more content modules to the user. Content module rankings based on the tags and user attributes are also provided.

Claims

1. A method for recommending content, comprising:

(a) having a computer implemented social network of a plurality of users, wherein each of said plurality of users has a user profile, and wherein said user profile comprises one or more user attributes;

(b) having a plurality of content modules, wherein said plurality of content modules are accessible by said plurality of users of said social network;

(c) providing a rating function for allowing said plurality of users of said social network to rate at least one of said plurality of content modules, wherein said rating is related to said one or more user attributes;

(d) accumulating said ratings of each of said plurality of content modules to assign a tag to the same of said plurality of content modules, wherein said assigned tag is related to said one or more user attributes; and

(e) recommending one of said plurality of content modules to one of said plurality of users of said social network, wherein said recommendation is based on said tag of each of said plurality of content modules and said one or more user attributes of the same of said plurality of users.

2. The method as set forth in claim 1, wherein said one or more user attributes comprises:

(a) at least one behavioral action;

(b) at least one emotional state;

or

(c) at least one behavioral action and at least one emotional state.

3. The method as set forth in claim 1, wherein said user profile of each of said plurality of users of said social network is updatable, and wherein said recommendation changes based on said update.

4. The method as set forth in claim 1, further comprising ranking said plurality of content modules, wherein said ranking is based on said tag of each of said plurality of content modules and said one or more user attributes of said user receiving said recommendation, and wherein said recommendation is based on said ranking.

5. The method as set forth in claim 1, wherein said recommended content module has not been previously viewed by said user receiving said recommendation.

6. The method as set forth in claim 1, wherein said computer implemented social network is for a personal behavioral change.

7. The method as set forth in claim 6, wherein at least one of said plurality of content modules comprises coaching content for said personal behavioral change.

8. The method as set forth in claim 1, wherein at least one of said plurality of content modules comprises audio, video, or audio-video content.

9. The method as set forth in claim 1, further comprising displaying a description for at least one of said plurality of content modules, wherein said description includes said assigned tag of said at least one of said plurality of content modules.

10. A system for recommending content, comprising:

(a) an application server for operating a computer implemented social network of a plurality of users, wherein said application server hosts a user profile for each of said plurality of users of said social network, and wherein said user profile comprises one or more user attributes;

(b) a database for storing a plurality of content modules, wherein said plurality of content modules are accessible by said plurality of users of said social network;

(c) a rating function for allowing said plurality of users of said social network to rate at least one of said plurality of content modules, wherein said rating is related to said one or more user attributes;

(d) a tagging function for assigning a tag to each of said plurality of content modules from an accumulation of said ratings of the same of said plurality of content modules, wherein said assigned tag is related to said one or more user attributes; and

(e) a recommendation function for recommending one of said plurality of content modules to one of said plurality of users, wherein said recommendation is based on said tag of each of said plurality of content modules and said one or more user attributes of the same of said plurality of users.

11. The method as set forth in claim 10, wherein said one or more user attributes comprises:

(a) at least one behavioral action;

(b) at least one emotional state;

or

(c) at least one behavioral action and at least one emotional state.

12. The system as set forth in claim 10, wherein said user profile of each of said plurality of users of said social network is updatable, and wherein said recommendation changes based on said update.

13. The system as set forth in claim 10, further comprising a ranking function for ranking said plurality of content modules, wherein said ranking is based on said tag of each of said plurality of content modules and said one or more user attributes of said user receiving said recommendation, and wherein said recommendation is based on said ranking.

14. The system as set forth in claim 10, wherein said recommended content module has not been previously viewed by said user receiving said recommendation.

15. The system as set forth in claim 10, wherein said computer implemented social network is for a personal behavioral change.

16. The system as set forth in claim 15, wherein at least one of said plurality of content modules comprises coaching content for said personal behavioral change.

17. The system as set forth in claim 10, wherein at least one of said plurality of content modules comprises audio, video, or audio-video content.

18. The system as set forth in claim 10, further comprising a description for at least one of said plurality of content modules, wherein said description includes said assigned tag of said at least one of said plurality of content modules.