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 9152700 B1

PDF
Full Text
Expired
Date of Patent:
Oct. 06, 2015

Filed:

Jan. 13, 2012
Applicants:

Thomas J. Duerig, Sunnyvale, CA (US);

Charles J. Rosenberg, Cupertino, CA (US);

Kunlong Gu, Belmont, CA (US);

Samy Bengio, Mountain View, CA (US);

Yun Zhou, San Jose, CA (US);

Inventors:

Thomas J. Duerig, Sunnyvale, CA (US);

Charles J. Rosenberg, Cupertino, CA (US);

Kunlong Gu, Belmont, CA (US);

Samy Bengio, Mountain View, CA (US);

Yun Zhou, San Jose, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 7/00 (2006.01); G06F 17/30 (2006.01); G06K 9/62 (2006.01); G06K 9/66 (2006.01); G06K 9/52 (2006.01);
U.S. Cl.
CPC ...
G06F 17/30675 (2013.01); G06F 17/3028 (2013.01); G06K 9/52 (2013.01); G06K 9/6202 (2013.01); G06K 9/6256 (2013.01); G06K 9/6262 (2013.01); G06K 9/6296 (2013.01); G06K 9/66 (2013.01);
Abstract

A method includes receiving a search query comprising one or more query terms, receiving image relevance models that each generate relevance measures of content feature values of images to a query, each image relevance model being a predictive model that has been trained based on content feature values of a set of training images, and each of the queries being a unique set of one or more query terms received by a search system as a query input, identifying an image relevance model for a different query that has been identified as similar to the received search query, and calculating a fractional adjustment multiplier for search results responsive to the received search query, the fractional adjustment multiplier being based on a relevance measure generated by the identified image relevance model for the different query and based on a degree of similarity between the different query and the received search query.


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