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:
Jun. 28, 2022

Filed:

Apr. 19, 2018
Applicant:

Pinterest, Inc., San Francisco, CA (US);

Inventors:

Brian Johnson, San Francisco, CA (US);

John Milinovich, San Francisco, CA (US);

Lance Alan Riedel, Menlo Park, CA (US);

Andrew Look, San Francisco, CA (US);

Mukund Narasimhan, Seattle, WA (US);

Yu Liu, Los Altos, CA (US);

Assignee:

Pinterest, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/06 (2012.01); G06F 16/957 (2019.01); G06Q 30/02 (2012.01); G06N 7/00 (2006.01); G06Q 50/00 (2012.01);
U.S. Cl.
CPC ...
G06Q 30/0631 (2013.01); G06F 16/9577 (2019.01); G06Q 30/0201 (2013.01); G06Q 30/0282 (2013.01); G06N 7/005 (2013.01); G06Q 50/01 (2013.01);
Abstract

According to aspects of the disclosed subject matter, a taste graph comprising likely content collection nodes with corresponding likely digital content items is generated through one or more analyses of a corpus of content collections that is maintained by the online content service. As should be understood, this corpus of content collections is comprised of a plurality of curated content collections, with each content collection comprising a plurality of digital content items. With this taste graph available, as a user generates (or in response to a user generating) a content collection of digital content items, reference can be made to the taste graph to identify one or more digital content items that may be added to the content collection, where the one or more digital content items have a probabilistic likelihood of being complimentary and/or compatible with the other digital content items of the content collection.


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