MODELING ACTIONS FOR ENTITY-CENTRIC SEARCH

• US 20130144854A1
• Filed: 12/06/2011
• Published: 06/06/2013
• Est. Priority Date: 12/06/2011
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Pantel, Patrick, Gamon, Michael, Kannan, Anitha, Fuxman, Ariel, Lin, Thomas
• Granted Patent: US 9,767,201 B2
• 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: G06F 16/9536 Search customisation based on social or collaborative filtering

Abstract

In one embodiment, a web service engine server 104 may predict a successive action by a user based on an entity reference 302. The web service engine server 104 may identify an entity reference 302 in a data transmission caused by a user. The web service engine server 104 may determine from the data transmission a user intention towards the entity reference 302 using an intention model based on a transmission log. The web service engine server 104 may predict a related successive web action option 522 for the entity reference 302 based on the user intention.

Claims

1. A machine-implemented method, comprising:

identifying an entity reference in a data transmission caused by a user;

determining from the data transmission a user intention towards the entity reference using an intention model based on a transmission log; and

predicting a related successive web action option for the entity reference based on the user intention.

2. The method of claim 1, further comprising:

identifying an entity reference in at least one of a search query, an e-mail, and a social network post.

3. The method of claim 1, further comprising:

sending the related successive web action option to a user device for presentation to the user.

4. The method of claim 1, further comprising:

ranking the related successive web action option in a related successive web action option set.

5. The method of claim 4, further comprising:

incorporating a monetization factor into ranking the related successive web action option set.

6. The method of claim 1, further comprising:

generating automatically an action phrasing for the related successive web action option.

7. The method of claim 1, further comprising:

associating at least one of a website link and an application programming interface with the related successive web action option.

8. The method of claim 1, further comprising:

identifying at least one of a website link and an application programming interface having the related successive web action option in a metadata tag.

9. The method of claim 1, further comprising:

adjusting the intention model based on a user selection.

10. The method of claim 1, further comprising:

factoring at least one of an entity type, a click through host and a context word into the intention model.

11. The method of claim 1, further comprising:

tailoring the intention model to the user.

12. A tangible machine-readable medium having a set of instructions detailing a method stored thereon that when executed by one or more processors cause the one or more processors to perform the method, the method comprising:

developing an intention model based on a transmission log to model a user intention;

identifying an entity reference in a data transmission caused by a user;

predicting a related successive web action option for the entity reference based on a user intention towards the entity reference according to the intention model.

13. The tangible machine-readable medium of claim 12, wherein the method further comprises:

factoring at least one of an entity type, a click through data point and a context word into the intention model.

14. The tangible machine-readable medium of claim 12, wherein the method further comprises:

sending the related successive web action option to a user device for presentation to the user.

15. The tangible machine-readable medium of claim 12, wherein the method further comprises:

ranking the related successive web action option in a related successive web action option set.

16. The tangible machine-readable medium of claim 12, wherein the method further comprises:

associating at least one of a website link and an application programming interface with the related successive web action option.

17. The tangible machine-readable medium of claim 12, wherein the method further comprises:

generating automatically an action phrasing for the related successive web action option.

18. The tangible machine-readable medium of claim 12, wherein the method further comprises:

tailoring the intention model to the user.

19. A search engine server, comprising:

a communication interface that receives a search query from a user;

a processor that identifies an entity reference in the search query, determines a user intention towards the entity reference from the search query using an intention model based on a transmission log, and predicts a related successive web action option set for the entity reference based on the user intention.

20. The search engine server of claim 19, wherein the processor ranks the related successive web action option set and sends the related successive web action option set to a user device for presentation to the user.