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:
Jan. 09, 2024

Filed:

Jan. 19, 2023
Applicant:

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

Inventors:

Naama Haramaty-Krasne, Hapekan, IL;

Yohay Kaplan, Haifa, IL;

Oren Shlomo Somekh, Kfar-Neter, IL;

Alexander Shtoff, Haifa, IL;

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/34 (2006.01); G06N 20/00 (2019.01); G06F 16/95 (2019.01); G06F 3/04842 (2022.01);
U.S. Cl.
CPC ...
G06F 11/3438 (2013.01); G06F 3/04842 (2013.01); G06F 16/95 (2019.01); G06N 20/00 (2019.01);
Abstract

In an example, sets of event information associated with events may be identified. The events may include intentional click events, accidental click events and/or skip events. Accidental click probabilities associated with the accidental click events and/or the skip events may be determined. Machine learning model training may be performed, using the sets of event information associated with the events and labels associated with the events, to generate a first machine learning model. The labels may include second labels associated with the intentional click events and/or third labels associated with the accidental click events and/or the skip events. The second labels may correspond to an intentional click classification. The third labels may be based upon the accidental click probabilities. Click probabilities associated with content items may be determined using the first machine learning model. A content item may be selected for presentation via a client device based upon the click probabilities.


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