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:
Feb. 21, 2023

Filed:

Feb. 01, 2019
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Zhen Li, Sunnyvale, CA (US);

Yi-ting Chen, Cupertino, CA (US);

Yaxi Gao, Sunnyvale, CA (US);

Da-Cheng Juan, Sunnyvale, CA (US);

Aleksei Timofeev, Mountain View, CA (US);

Chun-Ta Lu, Sunnyvale, CA (US);

Futang Peng, San Jose, CA (US);

Sujith Ravi, Santa Clara, CA (US);

Andrew Tomkins, Menlo Park, CA (US);

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

Assignee:

GOOGLE LLC, Mountainview, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06N 3/084 (2023.01); G06F 16/538 (2019.01); G06F 16/9538 (2019.01); G06K 9/62 (2022.01); G06N 3/04 (2023.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06F 16/538 (2019.01); G06F 16/9538 (2019.01); G06K 9/6215 (2013.01); G06K 9/6254 (2013.01); G06K 9/6257 (2013.01); G06N 3/0427 (2013.01); G06N 3/0445 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training an image embedding model. In one aspect, a method comprises: obtaining training data comprising a plurality of training examples, wherein each training example comprises: an image pair comprising a first image and a second image; and selection data indicating one or more of: (i) a co-click rate of the image pair, and (ii) a similar-image click rate of the image pair; and using the training data to train an image embedding model having a plurality of image embedding model parameters.


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