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:
Dec. 17, 2019

Filed:

Mar. 08, 2016
Applicant:

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

Inventors:

Sung-eok Jeon, Bellevue, WA (US);

Aliasgar Husain, Milpitas, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/2457 (2019.01); H04L 29/08 (2006.01); G06N 20/00 (2019.01); G06F 16/335 (2019.01); G06F 16/9535 (2019.01);
U.S. Cl.
CPC ...
G06F 16/24578 (2019.01); G06F 16/337 (2019.01); G06F 16/9535 (2019.01); G06N 20/00 (2019.01); H04L 67/22 (2013.01); H04L 67/306 (2013.01); H04L 67/20 (2013.01);
Abstract

A method trains a model for providing content items to users of a social networking system. The system generates profile vectors based on user profile information such as demographic data and personal data. The system logs actions performed by users on the social networking system and generates behavior vectors based on the logged actions. The profile vectors and behavior vectors are each associated with a user attribute, e.g., the age or gender of a user. The system generates a difference vector based on a profile vector and a behavior vector. The difference vector is then used as a feature to train the model using machine learning techniques. The trained model may select content items that a target user is most likely to be interested in and interact with.


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