LINK RECOMMENDATION AND DENSIFICATION

• US 20130041876A1
• Filed: 08/08/2011
• Published: 02/14/2013
• Est. Priority Date: 08/08/2011
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Inventors: Dow, Paul Alexander, Kalyanaraman, Shankar, Abraham, Ittai, Indarapu, Sameer
• Application Number:
  US13/205,274
• Publication Number:
  US 20130041876A1
• Time in Patent Office: Days
• US Class Current: 707/706
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

Links to web content can be identified as a function of one or more links shared by a user of an online social network service, among other things. The identified links can represent recommended links likely to be interesting to the user. Densification techniques can be employed to address data sparsity and thus enhance link recommendation. Furthermore, recommended links can be integrated with a search engine to personalize interaction with web content.

Claims

1. A method of facilitating link recommendation, comprising:

employing at least one processor configured to execute computer-executable instructions stored in memory to perform the following acts;

identifying a second set of one or more links to web content as a function of a first set of one or more links shared by a user of an online social networking service.

2. The method of claim 1, identifying the second set of one or more links as a function of content referenced by a link shared by the user.

3. The method of claim 2, identifying the second set of one or more links from results produced by a search engine in response to one or more queries generated based on the content.

4. The method of claim 1, identifying the second set of one or more links as a function of similarity between users of the online social networking service.

5. The method of claim 1, identifying the second set of one or more links as a function of similarity between links shared by users of the online social networking service.

6. The method of claim 1 further comprises weighting the second set of one or more links as a function of social network contacts of the user.

7. The method of claim 1 further comprises appending annotation data to a link in a set of search results that matches one of the one or more links of the second set.

8. The method of claim 1 further comprising identifying query-specific links from the second set of one or more links.

9. The method of claim 1 further comprises adding the second set of links to a recommended link index.

10. A system that facilitates search, comprising:

a processor coupled to a memory, the processor configured to execute the following computer-executable components stored in the memory;

a first component configured to recommend, on a search-engine result page, a second set of one or more links to web content identified as a function of a first set of one or more links shared by a user of a social network service.

11. The system of claim 10, the second set of one or more links is identified based on content of the one or more links shared by the user.

12. The system of claim 10, the second set of one or more links is identified based on comments with regard to the one or more links shared by the user.

13. The system of claim 10, the second set of one or more links is identified based on links that are similar to the first set of one or more links shared by a user.

14. The system of claim 10, the second set of one or more links is identified as a function of a user cluster.

15. The system of claim 10, the second set of one or more links is identified as a function of a domain cluster.

16. The system of claim 10, the second set of one or more links is identified as a function of a search engine query that returns one or the one or more links shared by the user.

17. A computer-readable storage medium having instructions stored thereon that enables at least one processor to perform the following acts:

identifying a second set of one or more links to web content as a function of a first set of one or more links shared by a user of an online social network service with other users of the social network service.

18. The computer-readable storage medium of claim 17 further comprising ranking the second set of one or more links as a function of link sharing behavior of social network contacts of the user.

19. The computer-readable storage medium of claim 17, identifying the second set of one or more links as a function of content referenced by at least one link of the first set of one or more links shared by the user.

20. The computer-readable storage medium of claim 17 further comprising identifying a third set of one or more links based on the second set of one or more links.