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:
Oct. 22, 2024

Filed:

Oct. 28, 2021
Applicant:

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

Inventors:

Handong Zhao, Cupertino, CA (US);

Zhe Lin, Clyde Hill, WA (US);

Zhaowen Wang, San Jose, CA (US);

Zhankui He, San Diego, CA (US);

Ajinkya Gorakhnath Kale, San Jose, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/245 (2019.01); G06F 16/248 (2019.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 16/245 (2019.01); G06F 16/248 (2019.01); G06N 20/00 (2019.01);
Abstract

Digital content search techniques are described that overcome the challenges found in conventional sequence-based techniques through use of a query-aware sequential search. In one example, a search query is received and sequence input data is obtained based on the search query. The sequence input data describes a sequence of digital content and respective search queries. Embedding data is generated based on the sequence input data using an embedding module of a machine-learning model. The embedding module includes a query-aware embedding layer that generates embeddings of the sequence of digital content and respective search queries. A search result is generated referencing at least one item of digital content by processing the embedding data using at least one layer of the machine-learning model.


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