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. 05, 2023

Filed:

Mar. 19, 2020
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Sourabh Gupta, Noida, IN;

Mrinal Kumar Sharma, Hazaribagh, IN;

Gourav Singhal, Delhi, IN;

Assignee:

Adobe Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/0601 (2023.01); G06N 3/08 (2023.01); G06N 3/04 (2023.01); G06F 16/583 (2019.01); G06V 20/20 (2022.01); G06F 18/23 (2023.01); G06F 18/214 (2023.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 10/44 (2022.01); G06F 3/0482 (2013.01); G06V 10/22 (2022.01); G06F 3/04842 (2022.01); G06N 3/088 (2023.01); G06F 16/54 (2019.01); G06F 3/0488 (2022.01); G06F 3/04845 (2022.01);
U.S. Cl.
CPC ...
G06Q 30/0623 (2013.01); G06F 16/583 (2019.01); G06F 18/2148 (2023.01); G06F 18/23 (2023.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06Q 30/0643 (2013.01); G06V 10/454 (2022.01); G06V 10/763 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 20/20 (2022.01); G06F 3/0482 (2013.01); G06F 3/0488 (2013.01); G06F 3/04842 (2013.01); G06F 3/04845 (2013.01); G06F 16/54 (2019.01); G06F 2203/04806 (2013.01); G06N 3/088 (2013.01); G06V 10/235 (2022.01);
Abstract

Methods, systems, and non-transitory computer readable media are disclosed for determining a sub-set of user-submitted images that are similar to a curated image and presenting the sub-set of user-submitted images in connection with the curated image. The disclosed system presents a curated image depicting a product via a graphical user interface (e.g., on an e-commerce platform). In one or more embodiments, the disclosed system extracts feature vectors from the curated image and a plurality of user-submitted images. The disclosed system compares the feature vectors from the curated image and the plurality of user-submitted images to determine a sub-set of user-submitted images that are similar to the curated image. The disclosed system presents the sub-set of user-submitted images based on a user selection of the curated image.


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