Identifying and recommending experts using shared queries and interactions

• US 8,549,011 B2
• Filed: 06/03/2011
• Issued: 10/01/2013
• Est. Priority Date: 05/12/2011
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Ickman, Steven, Laird-McConnell, Thomas Matthew, Portnoy, William Lawrence, McConnell, Christopher, Cheng, Lili, Raskino, David Arthur, Melander, Gregory Scott
• Primary Examiner(s): MOSER, BRUCE M
• Application Number:
  US13/152,319
• Publication Number:
  US 20120290605A1
• Time in Patent Office: 851 Days
• Field of Search: None
• US Class Current: 707/741
• CPC Class Codes: G06F 16/23 Updating
• CPC Class Codes: G06F 16/24568 Data stream processing; Continuous queries
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9538 Presentation of query results

Abstract

When a user enters an information retrieval query, a topic feed is generated for publication or distribution to a set of followers or recipients who have elected to receive the topic feed from the user or based on the subject matter content of the query. The topic feed is distributed and includes the query. Experts in subject matter can be identified based on the user'"'"'s queries and other text in the topic feed that the followers interact with.

Claims

1. A computer-implemented method of identifying a person of interest, using a computer with a processor, comprising:

generating, with the processor, a shared topic feed that includes posts of queries, authored by a user, along with user interface elements that receive follower interactions with the posts;

distributing, with the processor, the shared topic feed to a first set of followers; and

identifying, with the processor, the user as a person of interest based on follower interactions with the posts authored by the user.

2. The computer-implemented method of claim 1 and further comprising:

analyzing the posts authored by the user to identify a subject matter of the posts.

3. The computer-implemented method of claim 2 wherein identifying the user as a person of interest comprises:

counting a number of follower interactions for posts having a given subject matter; and

identifying the user as a person of interest for the given subject matter based on the number of follower interactions with posts having the given subject matter.

4. The computer-implemented method of claim 3 wherein identifying the user as a person of interest comprises:

identifying the user as a person of interest for the given subject matter when the number of follower interactions with posts having the given subject matter is more than a number of follower interactions with posts having the given subject matter for any other users.

5. The computer-implemented method of claim 2 wherein identifying the user as a person of interest comprises:

identifying the user as an expert for the subject matter.

6. The computer-implemented method of claim 1 wherein each of the followers have a corresponding shared topic feed, and wherein identifying the person of interest comprises:

receiving a re-post interaction indication, indicative of a follower re-posting a given post authored by the user to the follower'"'"'s corresponding shared topic feed, through the user interface elements.

7. The computer-implemented method of claim 6 wherein the follower'"'"'s corresponding shared topic feed is shared with a second set of followers, each of the second set of followers having a corresponding shared topic feed, and wherein identifying the person of interest comprises:

receiving a re-post interaction indication, indicative of one of the second set of followers re-posting the given post authored by the user to the one of the second set of followers corresponding shared topic feed, through the user interface elements.

8. The computer-implemented method of claim 7 wherein identifying the person of interest comprises:

tracking a number of re-post interaction indications for the user; and

identifying the user as a person of interest when the user has a sufficient number of re-post interaction indications.

9. The computer-implemented method of claim 1 wherein identifying the person of interest comprises:

receiving a like interaction indication, indicative of a follower entering a like interaction, for a given post authored by the user, through the user interface elements.

10. The computer-implemented method of claim 1 wherein identifying the person of interest comprises:

receiving a comment interaction indication, indicative of a follower entering a comment on a given post authored by the user, through the user interface elements.

11. The computer-implemented method of claim 1 wherein identifying the person of interest comprises:

receiving a click interaction indication, indicative of a follower clicking on a given post authored by the user, through the user interface elements.

12. The computer-implemented method of claim 1 wherein identifying the person of interest comprises:

receiving a follow interaction indication, indicative of a follower electing to follow the user, through the user interface elements.

13. The computer-implemented method of claim 5 and further comprising:

identifying topics of interest for the user; and

recommending to the user to follow another user that has been identified as an expert for a subject matter that corresponds to one or more of the topics of interest.

14. A system for identifying a person of interest, comprising:

a topic feed generator generating a shared topic feed that includes posts of queries, authored by a user, along with user interface elements that receive follower interactions with the posts;

a feed distributor distributing the shared topic feed to a first set of followers;

a statistics generator identifying the user as a person of interest based on follower information indicative of a number of followers that receive the topic feed; and

a computer processor that forms a functional hardware component of the system and is activated by the topic feed generator, the feed distributor and the statistics generator to facilitate generating the shared topic feed, distributing the shared topic feed to the first set of followers, and generating an output that identifies the user as a person of interest based on the follower information.

15. The system of claim 14 and further comprising:

an analyzer analyzing the posts authored by the user to identify a subject matter of the posts.

16. The system of claim 15 wherein the statistics generator identifies the user as a person of interest based on follower interactions with the posts authored by the user.

17. The system of claim 16 wherein the user has an extended set of followers that includes an initial set of followers and subsequent followers downstream of the initial set of followers, and wherein the statistics generator tracks a number of times a post authored by the user is interacted with by the extended set of followers.

18. The system of claim 17 wherein the statistics generator identifies the user as a person of interest based on the number of times a post authored by the user is interacted with by the extended set of followers.

19. The system of claim 14 wherein the follower information comprises follower voting information indicative of a community of users voting for the user.

20. A computer-implemented method of identifying experts in a subject matter, using a computer with a processor, comprising:

generating, with the processor, a shared topic feed that includes posts of queries, authored by a user, along with user interface elements that receive follower interactions with the posts;

analyzing each post to identify a subject matter of the post;

distributing, with the processor, the shared topic feed to a first set of followers;

receiving, at the processor, follower interaction indications indicative of followers interacting with a given set of posts having a common subject matter through the user interface elements; and

identifying, with the processor, the user as a person of interest for the common subject matter of the given set of posts based on the follower interactions received for the given set of posts.