公开(公告)号：US20240169411A1

公开(公告)日：2024-05-23

申请号：US17990054

申请日：2022-11-18

Applicant: COUPANG CORP.

Inventor： Nishant AGRAWAL ,  Chetan RAO ,  Ashutosh PENDSE ,  Yiwei SUN ,  Taeoh KIM ,  Dongcheng WANG

IPC: G06Q30/06

CPC classification number: G06Q30/0631 ,  G06Q30/0623 ,  G06Q30/0643

Abstract: A computerized system and method for dynamically generating modified user interface is disclosed. The method comprises receiving a search request, providing a list of at least one product in response to the search request, receiving a selection of a first product from the user device, providing the first product to the user device for display on the user interface, determining signals of the first product and their weights, calculating a score for each of the second products based on signals of the first product, ranking the second products by the score, and in response to receiving a request to redisplay the list of product, providing, to the user device for display together with the list of product, at least one second product based on the ranking.

公开(公告)号：US20210118036A1

公开(公告)日：2021-04-22

申请号：US17014551

申请日：2020-09-08

Applicant: Coupang Corp.

Inventor： Rui JIANG ,  Dongcheng WANG ,  Sungmin OH ,  Ting WANG ,  Jaedong SHIN

IPC: G06Q30/06 ,  G06Q30/02 ,  G06F16/2457 ,  G06F16/9538 ,  G06F16/9535 ,  G06N20/00

Abstract: Systems and methods are provided for providing product recommendations, comprising receiving, from a user device, a search query, defining, using a query handler cluster, context associated with the search query, identifying, using a search cluster, one or more products associated with the defined context, filtering, using the search cluster, the one or more products associated with the defined context based on features associated with the one or more products stored in a database, ranking, using the search cluster, the one or more products associated with the defined context based on a score generated for each product, and displaying, on the user device, product recommendations, wherein the product recommendations comprise a number of the one or more ranked products.