Coupang, Corporation

Emily Xiaoyun Hua

Nishant Agrawal

Sungho Kim

Min Hyun Park

Thomas Berry Jones

Pankesh Bamotra

Chan Seo

Ashutosh Pendse

One aspect of the present disclosure is directed to a computer-implemented system for streamlined product searching configured to receive a search query comprising at least one keyword; determine a product type; retrieve a first record of products associated with the product type; determine whether the search query meets a condition; and if the search query meets the condition: determine, a plurality of label values, and for each label value: generate a second record of products associated with the label value; determine whether each product in the second record meets a condition; deleting each product that meets the condition from the second record; ranking each remaining product in each second record; display the plurality of label values for selection; receive a selected label value; and display at least a portion of the remaining ranked products associated with the selected label value.

Systems and methods for providing intelligent multi-dimensional recommendations during online shopping

Systems and method are provided for AI-based product recommendation generation. One method includes, predicting, using a model, a plurality of recommended products, by determining a time span associated with a user identifier; retrieving at least one query submitted by a user associated with the user identifier during the time span; extracting attributes; determining a product category based on the extracted attributes; generating a list of products based on the determined product category; generating a list of recommended products based on the generated list of products; and modifying a user interface element associated with a webpage to include the generated list of recommended products.

Computerized systems and methods for using artificial intelligence to generate product recommendations

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Mountain View, CA, United States of America

Emily Xiaoyun Hua