Identifying and recommending experts using shared posts and interactions
AssigneeMicrosoft Corporation
InventorsSteven Ickman, Thomas Matthew Laird-McConnell, William Lawrence Portnoy, Christopher McConnell, Lili Cheng, David Arthur Raskino, Gregory Scott Melander
Life of this patent
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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.
Claims20
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;
- 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.
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.
A computer-implemented method of identifying experts in a subject matter, the method comprising:
- generating, with a computer processor, a shared topic feed that includes topic inputs associated with a user;
- analyzing the topic inputs to identify subject matter of the topic inputs;
- distributing the shared topic feed to a set of followers;
- identifying follower interaction indications indicative of followers interacting with a set of the topic inputs having a common subject matter;
- and
- identifying the user as a person of interest for the common subject matter based on the identified follower interactions with the set of topic inputs.
Dependencies are inferred from the claim text.