SOCIAL CONTENT SUGGESTIONS BASED ON CONNECTIONS

• US 20140074856A1
• Filed: 09/07/2012
• Published: 03/13/2014
• Est. Priority Date: 09/07/2012
• Status: Active Grant

• Current Assignee: R2 Solutions LLC (Acacia Research Corporation)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Rao, Supreeth Hosur Nagesh
• Granted Patent: US 9,367,878 B2
• Time in Patent Office: Days
• US Class Current: 707/748
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

A system and method for recommending content to a user in a social network, including: logging user activity for the user in the social network; categorizing the user activity across all the user'"'"'s networks, wherein each category is assigned a score based on relevance to the user; assigning weights to the user activities; calculating a social index score as a function of the weighted user activity categories; logging user content into categories; scoring the user content; and generating a content social index by weighting the content scores.

Claims

1. A method for recommending content to a user in a social network, said method comprising:

using a processor device performing steps of;

logging user activity for the user in the social network;

categorizing the user activity across all the user'"'"'s networks, wherein each category is assigned a score based on relevance to the user;

assigning weights to the user activities;

calculating a social index score as a function of the weighted user activity categories;

logging user content into categories;

scoring the user content; and

generating a content social index by weighting the content scores.

2. The method of claim 1 further comprising:

recommending content based on the content social index.

3. The method of claim 2 further comprising:

generating a user interface recommending the content.

4. The method of claim 3 wherein recommending the content comprises:

providing a window presenting a content suggestion.

5. The method of claim 4 wherein providing the window occurs responsive to receiving a click from the user.

6. The method of claim 1 wherein generating the content social index further comprises factoring input search terms leading to the content in the calculation to generate the content social index.

7. The method of claim 1 wherein generating the content social index further comprises factoring links which link to the content in the calculation to generate the content social index.

8. The method of claim 1 wherein generating the content social index further comprises factoring social_index categories of other users consuming the content into the calculation to generate the content social index.

9. An information processing system for recommending content to a user in a social network, said information processing system comprising:

a memory with computer-executable instructions comprising;

logging user activity for the user in the social network;

categorizing the user activity across all the user'"'"'s networks, wherein each category is assigned a score based on relevance to the user;

assigning weights to the user activities;

calculating a social index score as a function of the weighted user activity categories;

logging user content into categories;

scoring the user content; and

generating a content social index by weighting the content scores; and

a processor operably coupled with the memory.

10. The information processing system of claim 9 wherein the computer-executable instructions further comprise recommending content based on the content social index.

11. The information processing system of claim 10 wherein the computer-executable instructions further comprise generating a user interface recommending the content.

12. The information processing system of claim 11 wherein recommending the content comprises:

providing a window presenting a content suggestion.

13. The information processing system of claim 12 wherein providing the window occurs responsive to receiving a click from the user.

14. The information processing system of claim 9 wherein generating the content social index further comprises factoring input search terms leading to the content in the calculation to generate the content social index.

15. The information processing system of claim 9 wherein generating the content social index further comprises factoring links which link to the content in the calculation to generate the content social index.

16. The information processing system of claim 9 wherein generating the content social index further comprises factoring social_index categories of other users consuming the content into the calculation to generate the content social index.

17. A computer program product comprising a non-transitory computer readable storage medium with computer-executable instructions stored thereon, said computer-executable instructions comprising:

logging user activity for the user in the social network;

categorizing the user activity across all the user'"'"'s networks, wherein each category is assigned a score based on relevance to the user;

assigning weights to the user activities;

calculating a social index score as a function of the weighted user activity categories;

logging user content into categories;

scoring the user content; and

generating a content social index by weighting the content scores.

18. The computer program product of claim 17 wherein the computer-executable instructions further comprise:

generating a user interface recommending content based on the content social index.

19. The computer program product of claim 18 wherein recommending the content comprises providing a window presenting a content suggestion.

20. The computer program product of claim 19 wherein providing the window occurs responsive to receiving a click from the user.