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The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 10769426 B1

PDFFull Text
Date of Patent:
Sep. 08, 2020

Filed:

Oct. 30, 2015

Inferring attributes of organizations using member graph

Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Songtao Guo, Cupertino, CA (US);

Ke Wang, Cupertino, CA (US);

Alex Ching Lai, Menlo Park, CA (US);

Aarti Kumar, San Carlos, CA (US);

Keith Wai Kit Tsang, Fremont, CA (US);

Rekha Thakur, Santa Clara, CA (US);

Song Lin, Santa Clara, CA (US);

Christopher Matthew Degiere, Palo Alto, CA (US);

Assignee:

Microsoft Technology Licensing, LLC, Redmond, WA (US);

Attorney:

Schwegman Lundberg & Woessner, P.A.

Primary Examiner:

Nga B Nguyen

Int. Cl.
CPC ...
G06Q 10/06 (2012.01); G06Q 30/02 (2012.01); G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06Q 10/10 (2012.01); G06N 20/00 (2019.01); G06F 16/58 (2019.01); G06F 16/28 (2019.01); G06F 16/951 (2019.01); G06F 16/583 (2019.01); G06F 16/901 (2019.01); G06F 16/2453 (2019.01); G06K 9/46 (2006.01); G06F 16/215 (2019.01); G06N 5/00 (2006.01); G06N 20/20 (2019.01); G06N 7/00 (2006.01); G06N 7/02 (2006.01); G06Q 50/00 (2012.01); H04L 29/08 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00456 (2013.01); G06F 16/215 (2019.01); G06F 16/24534 (2019.01); G06F 16/24544 (2019.01); G06F 16/285 (2019.01); G06F 16/58 (2019.01); G06F 16/5838 (2019.01); G06F 16/5854 (2019.01); G06F 16/9024 (2019.01); G06F 16/951 (2019.01); G06K 9/00469 (2013.01); G06K 9/46 (2013.01); G06K 9/6215 (2013.01); G06K 9/6256 (2013.01); G06K 9/6263 (2013.01); G06K 9/6276 (2013.01); G06N 5/003 (2013.01); G06N 7/005 (2013.01); G06N 7/02 (2013.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01); G06Q 10/06393 (2013.01); G06Q 10/10 (2013.01); G06Q 50/01 (2013.01); H04L 67/10 (2013.01); H04L 67/306 (2013.01); G06K 2209/25 (2013.01); Y04S 10/54 (2013.01);
Abstract

In an example embodiment, a member profile corresponding to a member of a social networking service is obtained. Usage information for the member is then obtained, and one or more member metrics are calculated based on the member profile and usage information for the corresponding member. A plurality of features are extracted from the member profile and the one or more member metrics. The plurality of features is inserted into an organization name confidence score model to obtain a confidence score for an organization name in the member profile.

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