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:
Oct. 02, 2018

Filed:

Aug. 11, 2014
Applicant:

Microsoft Corporation, Redmond, WA (US);

Inventors:

Ying Shan, Sammamish, WA (US);

Jianchang Mao, Bellevue, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/02 (2006.01); G06N 99/00 (2010.01); G06N 5/04 (2006.01); G06N 3/04 (2006.01); G06F 17/30 (2006.01);
U.S. Cl.
CPC ...
G06N 99/005 (2013.01); G06F 17/30654 (2013.01); G06F 17/30867 (2013.01); G06N 3/02 (2013.01); G06N 3/0454 (2013.01); G06N 5/04 (2013.01);
Abstract

Functionality is described herein for generating a model on the basis of user-behavioral data and knowledge data. In one case, the user-behavioral data identifies queries submitted by users, together with selections made by the users in response to the queries. The knowledge data represents relationships among linguistic items, as expressed by one or more structured knowledge resources. The functionality leverages the knowledge data to supply information regarding semantic relationships which may not be adequately captured by the user-behavioral data, to thereby produce a more robust and accurate model (compared to a model produced on the basis of only user-behavioral data). Functionality is also described herein for applying the model, once trained. In one case, the model may correspond to a deep learning model.


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