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. 08, 2022

Filed:

Feb. 09, 2018
Applicant:

Oath Inc., New York, NY (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:

VERIZON MEDIA INC., New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/02 (2012.01); G06N 3/08 (2006.01); G06F 16/9535 (2019.01); G06F 16/2453 (2019.01);
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 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 input vectors for the plurality of subwords of each of the queries are obtained and an input vector for each of the queries is derived based on a plurality of input vectors of a plurality of subwords of the query. A query/ads model is optimized with respect to an objective function via training an input vector for each of the plurality of subwords associated with each of the queries, an input vector for each of the advertisements and links, and a matrix.


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