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:
Apr. 28, 2020

Filed:

Feb. 22, 2017
Applicant:

Ebay Inc., San Jose, CA (US);

Inventors:

Mingkuan Liu, San Jose, CA (US);

Hao Zhang, San Jose, CA (US);

Xianjing Liu, San Jose, CA (US);

Alan Qing Lu, Santa Clara, CA (US);

Assignee:

eBay Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/27 (2006.01); G06F 16/951 (2019.01); G06F 16/242 (2019.01); G06F 16/248 (2019.01); G06F 16/22 (2019.01); G06F 16/2455 (2019.01); G06N 3/04 (2006.01); G06F 40/30 (2020.01);
U.S. Cl.
CPC ...
G06F 16/951 (2019.01); G06F 16/2228 (2019.01); G06F 16/243 (2019.01); G06F 16/248 (2019.01); G06F 16/2455 (2019.01); G06F 40/30 (2020.01); G06N 3/0454 (2013.01);
Abstract

Embodiments of the present disclosure relate generally to semantic indexing to improve search results of a large corpus. Some embodiments identify one or more closest matches between (i) a search semantic vector that corresponds to a search query, the search semantic vector based on a first machine-learned model that projects the search query into a semantic vector space, and (ii) a plurality of publication vectors corresponding to respective publications in the publication corpus, the plurality of publication vectors based on a second machine-learned model that projects the plurality of publication vectors into the semantic vector space.


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