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. 13, 2024

Filed:

Jan. 31, 2023
Applicant:

Walmart Apollo, Llc, Bentonville, AR (US);

Inventors:

Mansi Ranjit Mane, Sunnyvale, CA (US);

Anirudha Sundaresan, Sunnyvale, CA (US);

Aditya Mantha, Sunnyvale, CA (US);

Stephen Dean Guo, Saratoga, CA (US);

Kannan Achan, Saratoga, CA (US);

Assignee:

WALMART APOLLO, LLC, Bentonville, AR (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 30/0601 (2023.01); G06F 16/901 (2019.01); G06F 16/906 (2019.01); G06F 40/20 (2020.01); G06N 3/048 (2023.01);
U.S. Cl.
CPC ...
G06Q 30/0631 (2013.01); G06F 16/9024 (2019.01); G06F 16/906 (2019.01); G06F 40/20 (2020.01); G06N 3/048 (2023.01); G06Q 30/0603 (2013.01);
Abstract

A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform functions including: receiving a respective item description and at least one respective attribute value for each item of a set of items; generating at least one respective text embedding; generating a graph of the set of items based on at least co-view data to create pairs of items that are co-viewed by joining respective pairs of items; training the text embedding model and a machine learning model using a neural loss function based on the graph; and automatically determining, using the machine learning model, as trained, a label for each item of the set of items. Other embodiments are disclosed.


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