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:
Apr. 02, 2024

Filed:

Jan. 31, 2021
Applicant:

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

Inventors:

Luyi Ma, Sunnyvale, CA (US);

Hyun Duk Cho, San Francisco, CA (US);

Sushant Kumar, Sunnyvale, CA (US);

Kannan Achan, Saratoga, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/00 (2023.01); G06F 18/22 (2023.01); G06N 7/01 (2023.01); G06Q 30/0601 (2023.01);
U.S. Cl.
CPC ...
G06Q 30/0631 (2013.01); G06F 18/22 (2023.01); G06N 7/01 (2023.01); G06Q 30/0633 (2013.01); G06Q 30/0641 (2013.01);
Abstract

A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform generating personalized product-type metrics for the user based at least in part on a user embedding for the user and product-type embedding Gaussian mixture distributions; determining top product types based at least in part on personalized product-type complementarity metrics generated using the personalized product-type metrics and cosine similarity measurements; generating a set of first items associated with the top product-types; ranking each respective item in the set of first items generated using an item-level embedding Gaussian distribution for the anchor item and a respective item-level embedding Gaussian distribution for the each respective item; and selecting a set of top items as the personalized complementary item recommendations based on the ranking. Other embodiments are disclosed.


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