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. 14, 2023

Filed:

Feb. 26, 2021
Applicant:

Snap Inc., Santa Monica, CA (US);

Inventors:

Newar Husam Al Majid, New York, NY (US);

Wisam Dakka, San Francisco, CA (US);

Donald Giovannini, Venice, CA (US);

Andre Madeira, Saratoga, CA (US);

Andrei Damian, San Francisco, CA (US);

Assignee:

Snap Inc., Santa Monica, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/48 (2019.01); G06F 16/51 (2019.01); G06F 16/432 (2019.01); G06F 16/84 (2019.01); G06F 16/587 (2019.01); G06F 3/023 (2006.01); G06F 3/04895 (2022.01); G06F 3/04817 (2022.01); G06F 40/30 (2020.01); G06F 40/284 (2020.01); G06F 16/9032 (2019.01); H04M 1/72436 (2021.01);
U.S. Cl.
CPC ...
G06F 16/48 (2019.01); G06F 3/0236 (2013.01); G06F 3/0237 (2013.01); G06F 3/04895 (2013.01); G06F 16/434 (2019.01); G06F 16/51 (2019.01); G06F 16/86 (2019.01); G06F 16/90324 (2019.01); G06F 40/30 (2020.01); G06F 3/04817 (2013.01); H04M 1/72436 (2021.01);
Abstract

Various embodiments provide for associating a collection of media items with a graphical element. For instance, a system can: generate corpus data from a set of features of a collection of media content items; determine a set of candidate graphical elements for the collection of media content items based on the corpus data and further based on a set of first mappings associating at least one graphical element and at least one n-gram; determine a set of prediction scores corresponding to the set of candidate graphical elements based on the set of features; determine a ranking for the set of candidate graphical elements based on the set of prediction stores; select a set of predicted graphical elements, from the set of candidate graphical elements, based on the ranking; and provide the set of predicted graphical elements in association with the collection of media content items.


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