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.

Date of Patent:
Dec. 08, 2020

Filed:

Oct. 30, 2017
Applicant:

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

Inventors:

Qi Guo, Sunnyvale, CA (US);

Bo Hu, Mountain View, CA (US);

Xianren Wu, San Jose, CA (US);

Anish Ramdas Nair, Fremont, CA (US);

Shan Zhou, San Jose, CA (US);

Lester Gilbert Cottle, III, Millbrae, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/9535 (2019.01); G06N 7/00 (2006.01); G06N 20/00 (2019.01); G06F 16/9038 (2019.01); G06F 16/9536 (2019.01);
U.S. Cl.
CPC ...
G06F 16/9535 (2019.01); G06F 16/9038 (2019.01); G06F 16/9536 (2019.01); G06N 7/005 (2013.01); G06N 20/00 (2019.01);
Abstract

In an example embodiment, two machine learned models are trained. One is trained to output a probability that a searcher having a member profile in a social networking service will select a potential search result. The other is trained to output a probability that a member corresponding to a potential search result will respond to a communication from a searcher. Features may be extracted from a query, information about the searcher, and information about the member corresponding to the potential search result and fed to the machine learned models. The outputs of the machine learned models can be combined and used to rank search results for returning to the searcher.


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