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:
Nov. 21, 2023

Filed:

Jul. 15, 2021
Applicants:

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

The Regents of the University of California, Oakland, CA (US);

Inventors:

Chen Fang, Hanover, NH (US);

Zhaowen Wang, San Jose, CA (US);

Wangcheng Kang, San Diego, CA (US);

Julian McAuley, San Diego, CA (US);

Assignees:

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

The Regents of the University of California, Oakland, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06F 16/51 (2019.01); G06N 3/084 (2023.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06F 16/51 (2019.01);
Abstract

The present disclosure relates to a fashion recommendation system that employs a task-guided learning framework to jointly train a visually-aware personalized preference ranking network. In addition, the fashion recommendation system employs implicit feedback and generated user-based triplets to learn variances in the user's fashion preferences for items with which the user has not yet interacted. In particular, the fashion recommendation system uses triplets generated from implicit user data to jointly train a Siamese convolutional neural network and a personalized ranking model, which together produce a user preference predictor that determines personalized fashion recommendations for a user.


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