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. 25, 2023

Filed:

Mar. 09, 2022
Applicant:

Verizon Media Inc., New York, NY (US);

Inventors:

Junwei Pan, Sunnyvale, CA (US);

Tian Zhou, Sunnyvale, CA (US);

Aaron Eliasib Flores, Menlo Park, CA (US);

Assignee:

YAHOO AD TECH LLC, New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/02 (2012.01); G06Q 30/0273 (2023.01); G06N 3/082 (2023.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06Q 30/0275 (2013.01); G06N 3/082 (2013.01); G06N 20/00 (2019.01);
Abstract

One or more computing devices, systems, and/or methods are provided. A machine learning model may be trained using a plurality of sets of information. One or more pruning operations may be performed in association with the training to generate a machine learning model with sparse vector representations associated with features of the plurality of sets of information. A request for content associated with a client device may be received. A set of features associated with the request for content may be determined. A plurality of positive signal probabilities associated with a plurality of content items may be determined using the machine learning model based upon one or more sparse vector representations, of the machine learning model, associated with the set of features. A content item may be selected from the plurality of content items for presentation via the client device based upon the plurality of positive signal probabilities.


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