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:
Aug. 29, 2023

Filed:

Dec. 07, 2021
Applicant:

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

Inventors:

Ajinkya Kale, San Jose, CA (US);

Baldo Faieta, San Francisco, CA (US);

Benjamin Leviant, Mountain View, CA (US);

Fengbin Chen, San Jose, CA (US);

Francois Guerin, San Francisco, CA (US);

Kate Sousa, San Jose, CA (US);

Trung Bui, San Jose, CA (US);

Venkat Barakam, Cupertino, CA (US);

Zhe Lin, Fremont, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/40 (2019.01); G06F 16/58 (2019.01); G06F 16/48 (2019.01); G06F 16/2457 (2019.01); G06F 16/43 (2019.01); G06V 20/00 (2022.01); G06F 18/23213 (2023.01);
U.S. Cl.
CPC ...
G06F 16/5866 (2019.01); G06F 16/24578 (2019.01); G06F 16/43 (2019.01); G06F 16/48 (2019.01); G06F 18/23213 (2023.01); G06V 20/35 (2022.01); G06V 2201/10 (2022.01);
Abstract

Systems, methods, and non-transitory computer-readable media are disclosed for determining multi-term contextual tags for digital content and propagating the multi-term contextual tags to additional digital content. For instance, the disclosed systems can utilize search query supervision to determine and associate multi-term contextual tags (e.g., tags that represent a specific concept based on the order of the terms in the tag) with digital content. Furthermore, the disclosed systems can propagate the multi-term contextual tags determined for the digital content to additional digital content based on similarities between the digital content and additional digital content (e.g., utilizing clustering techniques). Additionally, the disclosed systems can provide digital content as search results based on the associated multi-term contextual tags.


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