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. 22, 2023

Filed:

Jan. 19, 2023
Applicant:

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

Inventors:

Mridul Jain, Cupertino, CA (US);

Saigopal Thota, Fremont, CA (US);

Xun Luan, Santa Clara, CA (US);

Gajendra Alias Nishad Kamat, Cupertino, CA (US);

Assignee:

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

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/44 (2018.01); G06Q 30/0201 (2023.01); G06F 16/901 (2019.01); G06N 20/10 (2019.01); G06N 20/20 (2019.01); G06F 17/18 (2006.01); G06F 18/214 (2023.01);
U.S. Cl.
CPC ...
G06Q 30/0201 (2013.01); G06F 16/9024 (2019.01); G06F 17/18 (2013.01); G06F 18/2148 (2023.01); G06N 20/10 (2019.01); G06N 20/20 (2019.01);
Abstract

This application relates to apparatus and methods for determining confidence levels in associated data using machine learning algorithms. In some examples, a computing device may generate training graph data where each training graph connects at least two nodes by an edge, and each node represents data. The computing device may train a machine learning algorithm based on the generated training data. The computing device may then receive linked data, which associates at least two nodes, each representing data, with each other. The computing device may generate graph data based on the linking data, to provide to the machine learning algorithm as input. The computing device may then execute the machine learning algorithm on the generated graph data to generate values for each of its edges. The values may identify, for each edge, a confidence level in the connection between the two nodes for that edge.


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