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:
Mar. 11, 2025

Filed:

May. 15, 2023
Applicant:

Yahoo Ad Tech Llc, New York, NY (US);

Inventors:

Tian Zhou, Sunnyvale, CA (US);

Djordje Gligorijevic, San Jose, CA (US);

Bharatbhushan Shetty, Sunnyvale, CA (US);

Junwei Pan, Sunnyvale, CA (US);

Brendan Kitts, Seattle, WA (US);

Shengjun Pan, San Jose, CA (US);

Balaji Srinivasa Rao Paladugu, San Jose, CA (US);

Sneha Thomas, San Jose, CA (US);

Aaron Flores, Menlo Park, CA (US);

Assignee:

Yahoo Ad Tech LLC, New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/00 (2023.01); G06F 17/18 (2006.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G06Q 30/0273 (2023.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 17/18 (2013.01); G06N 5/04 (2013.01); G06Q 30/0275 (2013.01);
Abstract

One or more computing devices, systems, and/or methods are provided. Shaded bid values may be determined and/or submitted to one or more auction modules for participation in auctions. Auction information including at least one of minimum bid values to win associated with the auctions, sets of features associated with the auctions, the shaded bid values associated with the auctions, unshaded bid values associated with the auctions, etc. may be stored in a database. A machine learning model may be trained using a loss function and/or the auction information to generate a first machine learning model with feature parameters associated with features. A bid request, indicative of a second set of features, may be received. The first machine learning model may be used to determine a shaded bid value for submission based upon one or more first feature parameters, of the feature parameters, associated with the second set of features.


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