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:
Sep. 22, 2015

Filed:

Mar. 13, 2013
Applicant:

Google Inc., Mountain View, CA (US);

Inventors:

Kai Chen, Brisbane, CA (US);

Xiaodan Song, San Jose, CA (US);

Gregory S. Corrado, San Francisco, CA (US);

Kun Zhang, Union City, CA (US);

Jeffrey A. Dean, Palo Alto, CA (US);

Bahman Rabii, San Francisco, CA (US);

Assignee:

Google Inc., Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/18 (2006.01); G06E 1/00 (2006.01); G06E 3/00 (2006.01); G06G 7/00 (2006.01); G06N 3/08 (2006.01); G06F 17/30 (2006.01); G06N 3/04 (2006.01); G06Q 30/02 (2012.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 17/30707 (2013.01); G06F 17/30864 (2013.01); G06N 3/0427 (2013.01); G06N 3/084 (2013.01); G06Q 30/02 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for scoring concept terms using a deep network. One of the methods includes receiving an input comprising a plurality of features of a resource, wherein each feature is a value of a respective attribute of the resource; processing each of the features using a respective embedding function to generate one or more numeric values; processing the numeric values to generate an alternative representation of the features of the resource, wherein processing the floating point values comprises applying one or more non-linear transformations to the floating point values; and processing the alternative representation of the input to generate a respective relevance score for each concept term in a pre-determined set of concept terms, wherein each of the respective relevance scores measures a predicted relevance of the corresponding concept term to the resource.


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