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.

Patent No.:

US 10943178 B1

PDF
Full Text
Expired
Date of Patent:
Mar. 09, 2021

Filed:

Jan. 31, 2018
Applicant:

Facebook, Inc., Menlo Park, CA (US);

Inventors:

Tianshi Gao, Fremont, CA (US);

Yifei Zhang, Sunnyvale, CA (US);

Sina Jafarpour, Mountain View, CA (US);

Satya Satyavarta, Palo Alto, CA (US);

Dinkar Jain, Menlo Park, CA (US);

Qian Yan, Redwood City, CA (US);

Assignee:

Facebook, Inc., Menlo Park, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 7/00 (2006.01); G06Q 50/00 (2012.01); G06Q 30/02 (2012.01); G06N 20/00 (2019.01); H04L 29/08 (2006.01);
U.S. Cl.
CPC ...
G06N 7/005 (2013.01); G06N 20/00 (2019.01); G06Q 30/0202 (2013.01); G06Q 50/01 (2013.01); H04L 67/10 (2013.01);
Abstract

An online system maintains one or more models that determine likelihoods of a user performing various interactions after being presented with a content item. Additionally, the online system receives information identifying interactions by users with content, and generates embeddings for various users based on the interactions by the users with content. When determining whether to present a content item including an objective identifying an interaction to a user, the online system applies a maintained model to determine a likelihood of the user performing the interaction identified by the objective after being presented with the content item. Additionally, the online system determines a similarity of the embedding of the user to embeddings of users who performed the interaction identified by the objective. Based on a combination of the likelihood determined by the model and the similarity, the online system determines whether to present the content item to the user.


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