公开(公告)号：US20210295185A1

公开(公告)日：2021-09-23

申请号：US17225056

申请日：2021-04-07

Applicant: Coupang Corp.

Inventor： Gil Ho LEE ,  Pankesh BAMOTRA

IPC: G06N5/04 ,  G06N20/00 ,  G06N5/02 ,  G06Q10/08 ,  G06K9/62 ,  G06F7/08 ,  G06F16/215

Abstract: Systems and methods are provided for categorizing products using AI. 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.

公开(公告)号：US20210304121A1

公开(公告)日：2021-09-30

申请号：US16834051

申请日：2020-03-30

Applicant: Coupang Corp.

Inventor： Gil Ho LEE ,  Qidong Tang ,  Anan Hu

IPC: G06Q10/08 ,  G06F16/215 ,  G06F16/958 ,  G06N20/00 ,  G06N5/04 ,  G06F40/284 ,  G06F40/232

Abstract: Systems and methods are provided for integrating and deduplicating products using Al. One method comprises receiving at least one request to register a first product; searching at least one data store for a second product; tagging, using a machine learning model, at least one keyword from product information associated with the first product and tagging at least one keyword from product information associated with the second product; determining, using the machine learning model, a match score between the first product and the second product; when the match score is above a first predetermined threshold, determining, using the machine learning model, that the first product is identical to the second product; and when the match score is below a first predetermined threshold, determining, using the machine learning model, that the first product is not the second product.

公开(公告)号：US20210256592A1

公开(公告)日：2021-08-19

申请号：US16794898

申请日：2020-02-19

Applicant: COUPANG CORP.

Inventor： Gil Ho LEE ,  Yongjun PARK

IPC: G06Q30/06 ,  G06Q10/08 ,  G06Q10/06

Abstract: Disclosed are systems and methods for multi-point destination arrival time analysis. In one aspect, the system may include: a memory storing instructions; and at least one processor configured to execute the instructions to: receive a plurality of durations associated with at least one orderable item and associated metadata, the durations based on past history of producing the orderable items; store the plurality of durations associated with the at least one orderable item in a data store; retrieve, from the data store, the stored plurality of durations associated with the at least one item; receive an estimated preparation time for the at least one orderable item from a machine-learning algorithm; determine, based on the estimated preparation time, an assigned delivery worker associated with a second external system; and forward a request to the second external system to fulfill a delivery of the at least one orderable item.