USER LOCATION INTEREST INFERENCES

• US 20150356449A1
• Filed: 06/06/2014
• Published: 12/10/2015
• Est. Priority Date: 06/06/2014
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Saura, Jose, Itay, Meir Ben, Vainstein, Maxim, Galuzo, Sergey
• Application Number:
  US14/297,763
• Publication Number:
  US 20150356449A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06N 5/047 Pattern matching networks; Rete networks
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

One or more techniques and/or systems are provided for identifying a location interest inference for a first user. A first set of user signals (e.g., search history, social network posts, etc.) associated with the first user may be evaluated to identify a first user location interest pattern indicative of location interests of the first user. Social signals (e.g., phone calls, emails, photo tags, shared content, etc.) between the first user and other users may be evaluated to identify a second user having a social activity relevance score above a relationship threshold with respect to the first user. A second user location interest pattern may be generated for the second user based upon user signals associated with the second user. The first user location interest pattern and the second user location interest pattern may be aggregated to create the location interest inference indicative of refined locational interests of the first user.

Claims

1. A method for identifying a location interest inference for a first user, comprising:

evaluating a first set of user signals associated with a first user to generate a first user location interest pattern for the first user;

evaluating social signals between the first user and one or more users to identify a second user having a social activity relevance score above a relationship threshold with respect to the first user;

evaluating a second set of user signals associated with the second user to generate a second user location interest pattern for the second user; and

aggregating the first user location interest pattern and the second user location interest pattern to identify a location interest inference for the first user.

2. The method of claim 1, comprising:

weighting the second user location interest pattern prior to the aggregating based upon the social activity relevance score.

3. The method of claim 1, comprising:

providing content, corresponding to the location interest inference, to the user.

4. The method of claim 1, the evaluating social signals comprising evaluating the social signals to identify a third user having a second social activity relevance score above the relationship threshold with respect to the first user, the method comprising:

evaluating a third set of user signals associated with the third user to generate a third user location interest pattern for the third user, the aggregating comprising aggregating the first user location interest pattern, the second user location interest pattern, and the third user location interest pattern to identify the location interest inference for the first user.

5. The method of claim 4, comprising:

weighting the second user location interest pattern prior to the aggregating based upon the social activity relevance score; and

weighting the third user location interest pattern prior to the aggregating based upon the second social activity relevance score.

6. The method of claim 1, the social signals comprising at least one of email communication, a phone conversation, a social network post, a photo tag, or user interaction between the first user and at least one other user of the one or more users.

7. The method of claim 1, the evaluating social signals comprising:

assigning a first social activity relevance score to a third user based upon routine user interaction between the first user and the third user; and

adjusting the social activity relevance score for the second user to a second social activity relevance score based upon an increase in user interaction between the first user and the second user, the second social activity relevance score greater than the first social activity relevance score.

8. The method of claim 1, comprising:

generating a location story based upon the location interest inference; and

providing the location story to at least one of the first user or the second user.

9. The method of claim 1, the location interest inference corresponding to at least one of a prior user location of the first user, a current location of the first user, a future location of the first user, or a location of interest to the user.

10. The method of claim 1, the first set of user signals comprising at least one of social network information of the first user, commerce transaction history of the first user, calendar data of the first user, website browsing history of the first user, user travel patterns, or prior travel history of the first user.

11. The method of claim 3, the providing content comprising:

providing the content through at least one of a web service, an operating system alert, a recommendation, a search result page, an application, or a promotion interface.

12. The method of claim 1, the aggregating comprising:

determining that the first user and the second user are planning to visit a location; and

including the location within the location interest inference.

13. The method of claim 1, the aggregating comprising:

determining that the first user and the second user have a shared interest in a location; and

including the location within the location interest inference.

14. The method of claim 3, the location interest inference corresponding to a prior user location of the first user and the content corresponding to news about the prior user location.

15. A system for identifying a location interest inference for a first user, comprising:

a location interest component configured to;

evaluate a first set of user signals associated with a first user to generate a first user location interest pattern for the first user;

evaluate social signals between the first user and one or more users to identify a second user having a social activity relevance score above a relationship threshold with respect to the first user;

evaluate a second set of user signals associated with the second user to generate a second user location interest pattern for the second user; and

aggregate the first user location interest pattern and the second user location interest pattern to identify a location interest inference for the first user.

16. The system of claim 15, the location interest component configured to:

assign a first social activity relevance score to a third user based upon routine user interaction between the first user and the third user; and

adjust the social activity relevance score for the second user to a second social activity relevance score based upon an increase in user interaction between the first user and the second user, the second social activity relevance score greater than the first social activity relevance score

17. The system of claim 15, the location interest component configured to:

generate a location story based upon the location interest inference; and

provide the location story to at least one of the first user or the second user.

18. The system of claim 15, the location interest component configured to:

provide content, corresponding to the location interest inference, to the user.

19. The system of claim 18, the location interest inference corresponding to a prior user location of the first user and the content corresponding to news about the prior user location.

20. A computer readable medium comprising instructions which when executed perform a method for generating a story book for a location associated with a location interest inference, comprising:

evaluating a first set of user signals associated with a first user to generate a first user location interest pattern for the first user;

evaluating social signals between the first user and one or more users to identify a second user having a social activity relevance score above a relationship threshold with respect to the first user;

evaluating a second set of user signals associated with the second user to generate a second user location interest pattern for the second user;

aggregating the first user location interest pattern and the second user location interest pattern to identify a location interest inference for the first user; and

generating a story book for a location associated with the location interest inference based upon content associated with the location.