Coupang, Corporation

Nishant Agrawal

Min Hyun Park

Emily Xiaoyun Hua

Chan Seo

Ashutosh Pendse

Sungho Kim

Sung Ho Kim

Thomas Berry Jones

Pankesh Bamotra

Bumho Lee

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

One aspect of the present disclosure is directed to a computer-implemented method for streamlined product searching. The method may include receiving a search query comprising at least one keyword; generating a listing of related products based on the keyword; ranking each related product based on applicability; determining a product type of at least the highest ranking related product; determining a filter sequence associated with the product type; generating a first record comprising the filter sequence; instantiating a second record of selected attributes; displaying a first filter in the filter sequence; receiving a first selected attribute from the first filter; displaying the second filter; receiving a second selected attribute from the second filter; and displaying a listing of products associated with the selected attributes in the second record.

Systems and methods for visual navigation during online shopping using intelligent filter sequencing

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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Sunnyvale, CA, United States of America

Nishant Agrawal