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:
Feb. 19, 2019

Filed:

Apr. 26, 2017
Applicant:

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

Inventors:

Chaochao Cai, Bellevue, WA (US);

Goran Predovic, Redmond, WA (US);

Wei Wei, Fremont, CA (US);

Chang Liu, Foster City, CA (US);

Liang Xu, Bellevue, WA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06N 99/00 (2010.01); G06N 5/04 (2006.01); G06K 9/00 (2006.01); G06K 9/66 (2006.01); G06K 9/72 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6256 (2013.01); G06K 9/00275 (2013.01); G06K 9/66 (2013.01); G06K 9/72 (2013.01); G06N 5/04 (2013.01); G06N 99/005 (2013.01); G06K 2009/00322 (2013.01); G06K 2009/00328 (2013.01);
Abstract

An online system predicts gender, age, interests, or other demographic information of a user based on image data of the user, e.g., profile photos, photos the user posts of him/herself within an online system, and photos of the user posted by other users socially connected with the user, and textual data in the user's profile that suggests age or gender (e.g., like or dislikes similar to a population of users of an online system). The online system similarly predicts a user's interests based on the photos of the user. The online system applies one or more models trained using deep learning techniques to generate the predictions. The online system uses the predictions to build more information about the user in the online system, and provide improved and targeted content delivery to the user that may have disparate information scattered throughout different online systems.


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