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:
Aug. 09, 2022

Filed:

Apr. 30, 2020
Applicant:

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

Inventors:

Aleksey Sergeyevich Fadeev, Issaquah, WA (US);

Li Zhou, Mountain View, CA (US);

Yimin Song, Mountain View, CA (US);

Goran Predovic, Seattle, WA (US);

Chaochao Cai, Bellevue, WA (US);

Liang Xu, Bellevue, WA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06V 40/16 (2022.01); G06F 16/9535 (2019.01); H04L 51/52 (2022.01); H04L 51/10 (2022.01); G06F 40/20 (2020.01); G06Q 50/00 (2012.01); H04L 67/306 (2022.01);
U.S. Cl.
CPC ...
G06V 40/173 (2022.01); G06F 16/9535 (2019.01); G06F 40/20 (2020.01); G06Q 50/01 (2013.01); G06V 40/169 (2022.01); H04L 51/10 (2013.01); H04L 51/32 (2013.01); H04L 67/306 (2013.01);
Abstract

An online system matches a user across multiple online systems based on image data for the user (e.g., profile photo) regardless whether the image data is from the online system, a different but related online system or a third party system. For example, to match the user across a social networking system and INSTAGRAM™ system, the online system compares the similarity between images of the user from both systems in addition to similarity of textual information in the user profiles on both systems. The similarity of image data and the similarity of textual information associated with the user are used by the online system as indicators of matched user accounts belonging to the same user across both systems. The online system applies models trained using deep learning techniques to match a user across multiple online systems based on the image data and textual information associated with the user.


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