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:
Jun. 01, 2021

Filed:

Feb. 18, 2020
Applicant:

Coupang Corp., Seoul, KR;

Inventors:

Gil Ho Lee, Shanghai, CN;

Pankesh Bamotra, Bellevue, WA (US);

Assignee:

Coupang Corp., Seoul, KR;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 5/04 (2006.01); G06N 5/02 (2006.01); G06Q 10/08 (2012.01); G06K 9/62 (2006.01); G06F 7/08 (2006.01); G06F 16/215 (2019.01);
U.S. Cl.
CPC ...
G06N 5/04 (2013.01); G06F 7/08 (2013.01); G06F 16/215 (2019.01); G06K 9/627 (2013.01); G06K 9/6257 (2013.01); G06K 9/6277 (2013.01); G06N 5/02 (2013.01); G06N 20/00 (2019.01); G06Q 10/087 (2013.01);
Abstract

Systems and methods are provided for categorizing products using Al. One method comprises retrieving initial training data including products associated with one or more categories; pre-processing the initial training data to generate synthesized training data; generating a hierarchical model using the synthesized training data, the hierarchical model containing at least two layers of nodes below a root node; receiving information associated with a first uncategorized product; and receiving a request to predict a set of N categories with the highest N total probability scores. The method may further comprise predicting, using the hierarchical model, N categories of the first uncategorized product, by calculating total probability scores, and determining the N categories with the highest N total probability scores; sorting the first uncategorized product into the N categories associated with the nodes from the first and second layers having the highest total probability scores; and displaying the sorted first uncategorized product and its associated N categories on a user device associated with a user.


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