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:
Oct. 17, 2023

Filed:

Jan. 07, 2021
Applicant:

Meta Platforms, Inc., Menlo Park, CA (US);

Inventors:

Wenyu Ren, Sunnyvale, CA (US);

Quan Zhou, Sunnyvale, CA (US);

Chihoon Lee, Sunnyvale, CA (US);

Haiyu Lu, San Jose, CA (US);

Assignee:

Meta Platforms, Inc., Menlo Park, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/02 (2023.01); G06Q 30/0251 (2023.01); G06Q 30/0241 (2023.01); G06N 3/04 (2023.01);
U.S. Cl.
CPC ...
G06Q 30/0271 (2013.01); G06N 3/04 (2013.01); G06Q 30/0255 (2013.01); G06Q 30/0277 (2013.01);
Abstract

An online system for determining advertisements for retrieval is disclosed. The online system may assign a unique category path associated with a hierarchy of advertisement categories to a plurality of advertisements accessible by the online system to determine advertisement information features. The online system may determine a plurality of types of user engagements associated with prior user interactions by a user with one or more of the advertisements or types of advertisements associated with the advertisements to determine a set of user engagement features. The online system may select user engagement features, from the set, based on determined user engagement results to obtain user related features. The online system may associate the user related features with an assigned unique category path, associated with the ad information features, to generate inverted index features. The online system may apply the inverted index features as inputs to a neural network.


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