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:
May. 28, 2024

Filed:

Jan. 16, 2023
Applicant:

Yahoo Assets Llc, Dulles, VA (US);

Inventors:

Alexander Shtof, Haifa, IL;

Yair Koren, Haifa, IL;

Yohay Kaplan, Tel-Aviv, IL;

Assignee:

Yahoo Assets LLC, New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2019.01); G06F 7/00 (2006.01); G06F 16/23 (2019.01); G06F 16/2457 (2019.01); G06N 5/02 (2023.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G06Q 30/0201 (2023.01);
U.S. Cl.
CPC ...
G06N 5/04 (2013.01); G06F 16/23 (2019.01); G06F 16/24578 (2019.01); G06N 5/02 (2013.01); G06N 20/00 (2019.01); G06Q 30/0201 (2013.01);
Abstract

One or more computing devices, systems, and/or methods for content recommendation based upon continuity and grouping information of attributes are provided herein. User interaction data specifying whether users interacted with content items, user attributes of the users, and content attributes of the content items is obtained. A data structure is populated with the user interaction data. The data structure is modified by inserting a set of sub-fields into the data structure for a user attribute. A sub-field is populated with a value representing an option of the user attribute. The set of sub-fields are an encoding of continuity information and grouping information representing options for the user attribute. The data structure is processed using machine learning functionality to generate a model. The model is utilized to generate a prediction as to whether a user will interact with a content item.


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