Identifying and recommending experts using shared posts and interactions

• US 9,230,031 B2
• Filed: 08/28/2013
• Issued: 01/05/2016
• Est. Priority Date: 05/12/2011
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Technology Licensing LLC (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:
  US14/012,121
• Publication Number:
  US 20140006372A1
• Time in Patent Office: 860 Days
• US Class Current: 1/1
• 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

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 a topic input in the topic feed. The topic feed is distributed and includes the topic input. Experts in subject matter can be identified based on the user'"'"'s topic input and/or text in the topic feed that the followers interact with.

Claims

1. A computer-implemented method of identifying a person of interest, the method comprising:

generating, with a computer processor, a shared topic feed that includes a topic input associated with a user;

identifying a subject matter area of the topic input;

distributing the shared topic feed to a set of followers; and

identifying the user as a person of interest based on follower interactions with the topic input,

wherein identifying the user as a person of interest comprises;

determining a first number of follower interactions with topic inputs associated with the user that pertain to the subject matter area;

determining a second number of follower interactions with topic inputs, associated with a number of other users, that pertain to the subject matter area; and

identifying the user as a person of interest for the subject matter based on a determination that the first number of follower interactions is more than the second number of follower interactions.

2. The computer-implemented method of claim 1, wherein the topic input comprises an indication of a search result selected by the user.

3. The computer-implemented method of claim 1, wherein the topic input comprises a post attributed to the user, and the shared topic feed comprises user interface elements that receive follower interactions with the post.

4. The computer-implemented method of claim 3, wherein the post comprises a query authored by the user.

5. The computer-implemented method of claim 1, wherein the set of followers comprise followers of the user.

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

identifying the set of followers based on other users that follow the subject matter area.

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

receiving a re-post interaction indication, indicative of a follower re-posting a given topic input associated with the user to the follower'"'"'s corresponding shared topic feed.

8. The computer-implemented method of claim 1 wherein identifying the user as a person of interest comprises at least one of:

receiving a like interaction indication, indicative of a follower entering a like interaction, for a given topic input associated with the user;

receiving a comment interaction indication, indicative of a follower entering a comment on a given topic input associated with the user; and

receiving a click interaction indication, indicative of a follower clicking on a given topic input associated with the user.

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

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

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

a computer processor that forms a functional component of the system;

a topic feed generator generating a shared topic feed that includes a post comprising material attributed to a user;

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

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

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 attributed to the user is interacted with by the extended set of followers.

11. The system of claim 10, wherein the post comprises a search result selected by the user.

12. The system of claim 10 and further comprising:

an analyzer analyzing the post to identify a subject matter of the post.

13. The system of claim 12 wherein the statistics generator identifies the user as a person of interest based on follower interactions with the post.

14. The system of claim 10 wherein the statistics generator identifies the user as a person of interest based on the number of times a post attributed to the user is interacted with by the extended set of followers.