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:
Mar. 15, 2022

Filed:

Jun. 30, 2020
Applicant:

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

Inventors:

Steve Morin, San Francisco, CA (US);

Anuj Madan, San Mateo, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/00 (2012.01); G06Q 30/06 (2012.01); G06Q 50/00 (2012.01); G06F 16/2457 (2019.01); G06N 20/00 (2019.01); G06N 5/04 (2006.01); G06T 15/00 (2011.01); H04L 67/306 (2022.01); G06K 9/00 (2022.01); G06F 16/9535 (2019.01); G06Q 30/02 (2012.01);
U.S. Cl.
CPC ...
G06Q 30/0631 (2013.01); G06F 16/24578 (2019.01); G06F 16/9535 (2019.01); G06K 9/00624 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 30/0201 (2013.01); G06Q 30/0255 (2013.01); G06Q 30/0275 (2013.01); G06Q 50/01 (2013.01); G06T 15/00 (2013.01); H04L 67/306 (2013.01); G06Q 30/0603 (2013.01);
Abstract

A publishing user identifies a product offered by the user to an online system by providing multiple images of various products viewed at different angles to the online system. The online system applies an identification model to content items obtained from other users to identify one or more of the products in various content items. From a number of content items obtained from other users that include products offered by the publishing user, the online system compute trends. The trends may be for a specific product or products having one or more common attributes. The online system transmits information about the trends to the publishing user or to other users. The trends may also be used to rank recommendations for products to a specific user, where the trends from numbers of content items including products are weighted by the specific user's preferences.


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