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:
Jun. 09, 2026

Filed:

Feb. 09, 2018
Applicant:

Yahoo Ad Tech Llc, Dulles, VA (US);

Inventors:

Erik Ordentlich, San Jose, CA (US);

Andrew Feng, Cupertino, CA (US);

Milind Rao, Palo Alto, CA (US);

Jun Shi, Fremont, CA (US);

Assignee:

YAHOO AD TECH LLC, Dulles, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/0251 (2023.01); G06F 16/2453 (2019.01); G06F 16/9535 (2019.01); G06N 3/08 (2023.01); G06Q 30/0241 (2023.01);
U.S. Cl.
CPC ...
G06Q 30/0256 (2013.01); G06F 16/24542 (2019.01); G06F 16/9535 (2019.01); G06N 3/08 (2013.01); G06Q 30/0277 (2013.01);
Abstract

The present teaching relates to identifying content that matches a query. Train data include queries, advertisement, and hyperlinks associated with query sessions. A plurality of subwords for each of the queries in the training data are identified. A query/ads model is then trained by optimizing vectors associated the plurality of subwords for each of the queries, advertisements, and hyperlinks in the training data with respect to an objective function. At least one vector associated with each of the queries is derived based on the plurality of subword vectors in the query/ads model that represent the plurality of subwords of the query.


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