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. 01, 2022

Filed:

Feb. 01, 2019
Applicant:

A9.com, Inc., Palo Alto, CA (US);

Inventors:

Krystle Elaine de Mesa, San Mateo, CA (US);

Aishwarya Natesh, Palo Alto, CA (US);

Andrea Joyce Diane Zehr, Palo Alto, CA (US);

Rupa Chaturvedi, Menlo Park, CA (US);

Mehmet Nejat Tek, Santa Clara, CA (US);

Julie Chang, Plano, TX (US);

Assignee:

A9.COM, INC., Palo Alto, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/00 (2012.01); G06Q 30/06 (2012.01); G06F 16/9535 (2019.01); G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
G06Q 30/0627 (2013.01); G06F 16/9535 (2019.01); G06Q 30/0603 (2013.01); G06K 9/6215 (2013.01); G06K 9/6253 (2013.01); G06K 9/6255 (2013.01);
Abstract

The present embodiments provide visual search techniques which produces results that include both accurate similar items as well diversified items through attribute manipulation. In some embodiments, a feature vector describing the item of interest is obtained. A target feature vector is then generated at least partially from the original feature vector, in which the target feature vector shares only a subset of attribute values with the original feature vector and includes at least some values that are different from the original feature vector. An electronic catalog of items is then queried using the target feature vector, and a set of candidate items are determined from the electronic catalog based at least in part on similarity to the target feature vector. The original feature vector may be used to query for a set of similar items that are as similar as possible to the item of interest.


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