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:
Apr. 30, 2019

Filed:

Oct. 05, 2018
Applicant:

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

Inventor:

Jinghao Yan, Cupertino, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 7/00 (2006.01); G06N 20/00 (2019.01); G06Q 30/02 (2012.01); H04L 29/08 (2006.01); G06F 16/435 (2019.01);
U.S. Cl.
CPC ...
H04L 67/327 (2013.01); G06F 16/435 (2019.01); G06N 7/005 (2013.01); G06Q 30/0282 (2013.01); H04L 67/22 (2013.01); H04L 67/306 (2013.01); G06N 20/00 (2019.01); H04L 67/02 (2013.01);
Abstract

An online system trains a machine learning model for providing content items to users of the online system. The online system logs actions performed by users and generates user feature vectors based on the logged actions. The online system generates item feature vectors based on information about items from third parties. The machine learning model is trained using the user feature vectors and item feature vectors. The machine learning model determines a likelihood that a target user will acquire a certain item, especially after an update or change has occurred relating to that item. The online system selects content items that the target user is likely to be interested in and is likely to interact with.


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