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. 06, 2024

Filed:

Sep. 27, 2021
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Gabi Shalev, Rosh Hayin, IL;

Alexander Lorbert, Givat Shmuel, IL;

David Neiman, Tel-Aviv, IL;

Arik Poznanski, Herzliya, IL;

Eduard Oks, Redmond, WA (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/40 (2022.01); G06F 16/2457 (2019.01); G06F 16/55 (2019.01); G06F 16/56 (2019.01); G06F 16/9535 (2019.01); G06F 18/22 (2023.01); G06N 3/08 (2023.01); G06Q 30/06 (2023.01); G06V 10/75 (2022.01);
U.S. Cl.
CPC ...
G06V 10/40 (2022.01); G06F 16/24578 (2019.01); G06F 16/55 (2019.01); G06F 16/56 (2019.01); G06F 16/9535 (2019.01); G06F 18/22 (2023.01); G06N 3/08 (2013.01); G06Q 30/06 (2013.01); G06V 10/751 (2022.01);
Abstract

Techniques are generally described for performing outfit recommendation using a recurrent neural network. In various examples, a computing device may receive a first state vector representing an outfit comprising at least one fashion item. First image data depicting a second fashion item of a first item category may be received. A machine learning mode may generate a first output feature vector based on the first state vector, the first image data, a first attribute vector, and the first item category. The first output feature vector may be compared to other feature vectors representing other fashion items in the first category to determine distances between the first output feature vector and the other feature vectors. A set of fashion items may be recommended based on the distances between the first output feature vector and the other feature vectors.


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