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:
Sep. 24, 2019

Filed:

Apr. 19, 2017
Applicant:

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

Inventors:

Dan Barak, Redwood City, CA (US);

Yaniv N. Taigman, Los Altos, CA (US);

Gil Hirsch, Palo Alto, CA (US);

Jorn Martinus Johannes van Dijk, Amsterdam, NL;

Dirk John Stoop, Menlo Park, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/60 (2006.01); G06K 9/00 (2006.01); G06F 16/583 (2019.01); H04L 29/08 (2006.01); G06F 16/51 (2019.01); G06F 16/332 (2019.01); G06F 16/58 (2019.01); H04L 12/58 (2006.01); G06Q 50/00 (2012.01); G06F 3/0484 (2013.01); G06F 3/0482 (2013.01); G06T 11/60 (2006.01);
U.S. Cl.
CPC ...
G06F 16/583 (2019.01); G06F 3/04842 (2013.01); G06F 16/3322 (2019.01); G06F 16/51 (2019.01); G06F 16/5866 (2019.01); G06K 9/00221 (2013.01); G06K 9/00228 (2013.01); G06K 9/00268 (2013.01); G06K 9/00295 (2013.01); G06K 9/00302 (2013.01); G06K 9/00677 (2013.01); G06Q 50/01 (2013.01); H04L 51/32 (2013.01); H04L 67/10 (2013.01); H04L 67/22 (2013.01); H04L 67/306 (2013.01); G06F 3/0482 (2013.01); G06K 2009/00328 (2013.01); G06T 11/60 (2013.01);
Abstract

In one embodiment, a method includes sending, from a client system of a first user to a server of an online social network, an image portraying at least a first person and determining, for each user in a first set of users, a facial-recognition score with respect to the first person portrayed in the image. The facial-recognition score is based at least in part on a facial-representation associated with the user being compared with the image. The method further includes presenting, at the client system, one or more tag suggestions for the first person portrayed in the image based on the facial-recognition scores and a social-graph affinity associated with one or more users of the first set of users and receiving a selection of a particular tag suggestion by the first user. Each tag suggestion corresponds to a particular user of the first set of users.


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