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:
Jul. 25, 2023

Filed:

Mar. 12, 2021
Applicant:

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

Inventors:

Handong Zhao, San Jose, CA (US);

Zhankui He, San Diego, CA (US);

Zhe Lin, Bellevue, WA (US);

Zhaowen Wang, San Jose, CA (US);

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

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/00 (2023.01); H04N 21/466 (2011.01); G06N 3/08 (2023.01); H04N 21/45 (2011.01); H04N 21/4722 (2011.01); G06Q 30/0282 (2023.01); G06Q 30/0601 (2023.01);
U.S. Cl.
CPC ...
H04N 21/4666 (2013.01); G06N 3/08 (2013.01); G06Q 30/0282 (2013.01); G06Q 30/0631 (2013.01); H04N 21/4532 (2013.01); H04N 21/4667 (2013.01); H04N 21/4722 (2013.01);
Abstract

A multimodal recommendation identification system analyzes data describing a sequence of past content item interactions to generate a recommendation for a content item for a user. An indication of the recommended content item is provided to a website hosting system or recommendation system so that the recommended content item is displayed or otherwise presented to the user. The multimodal recommendation identification system identifies a content item to recommend to the user by generating an encoding that encodes identifiers of the sequence of content items the user has interacted with and generating encodings that encode multimodal information for content items in the sequence of content items the user has interacted with. An aggregated information encoding for a user based on these encodings and a system analyzes the content item sequence encoding and interaction between the content item sequence encoding and the multiple modality encodings to generate the aggregated information encoding.


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