US 12,189,702 B2
Expert detection in social networks
Omar Alonso, Redwood City, CA (US); Martin Hentschel, San Mateo, CA (US); Vasileios Kandylas, Sunnyvale, CA (US); and Thibault Sellam, Amsterdam (NL)
Assigned to MICROSOFT TECHNOLOGY LICENSING, LLC, Redmond, WA (US)
Filed by MICROSOFT TECHNOLOGY LICENSING, LLC, Redmond, WA (US)
Filed on Aug. 3, 2023, as Appl. No. 18/229,727.
Application 18/229,727 is a continuation of application No. 17/070,725, filed on Oct. 14, 2020, granted, now 11,797,620.
Application 17/070,725 is a continuation of application No. 15/054,370, filed on Feb. 26, 2016, abandoned.
Prior Publication US 2023/0376548 A1, Nov. 23, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 16/00 (2019.01); G06F 16/2457 (2019.01); G06F 16/9535 (2019.01); G06F 16/958 (2019.01); G06Q 10/06 (2023.01); G06Q 10/0639 (2023.01); G06Q 50/00 (2012.01)
CPC G06F 16/9535 (2019.01) [G06F 16/24578 (2019.01); G06F 16/958 (2019.01); G06Q 10/06 (2013.01); G06Q 10/06398 (2013.01); G06Q 50/01 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system comprising:
at least one processor; and
memory having computer-executable instructions stored thereon which, when executed by the at least one processor, cause the at least one processor to:
receive a weighted graph of topics where each vertex of the weighted graph represents a topic keyword and each edge between vertices represents a semantic association, each topic within the weighted graph comprising one or more topic keywords;
identify a user;
identify, from the weighted graph, a set of topics associated with the user;
designate the user as an expert for a particular topic of the set of topics in accordance with a user score for the topic being higher than a predetermined threshold;
receive a user query for experts on the particular topic; and
responsive to the user query, return identification of the user.