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:
Aug. 13, 2024

Filed:

Feb. 09, 2018
Applicant:

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

Inventors:

Erik Ordentlich, San Jose, CA (US);

Milind Rao, Palo Alto, CA (US);

Jun Shi, Fremont, CA (US);

Andrew Feng, Cupertino, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06F 16/951 (2019.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06Q 30/0251 (2023.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 16/951 (2019.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06Q 30/0254 (2013.01);
Abstract

The present teaching relates to obtaining a model for identifying content matching a query. Training data are received which include queries, advertisements, and hyperlinks. A plurality of subwords are identified from each of the queries and a plurality of vectors for the plurality of subwords of each of the queries are obtained. Via a neural network, a vector for each of the queries is derived based on a plurality of vectors for the plurality of subwords of the query. A query/ads model is obtained via optimization with respect to an objective function, based on vectors associated with the plurality of subwords of each of the queries and vectors for the queries obtained from the neural network.


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