Walmart Apollo, LLC

Rajyashree Mukherjee

Ciya Liao

Cun Mu

Zhenrui Wang

Nitin Shailesh Baliga

Pankaj Adsul

Jungwoo Han

Vachik Shailesh

Jiahao Zhang

Rini Vipinchandra Joshi

Krishna Sravanthi

Nimit Kamlesh Desai

Shubham Vishwanath Barhate

Robert Wayne Macy, Iii

Xinyi Liu

Leonardo Lezcano

Varun Joshi

Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and execute functions comprising: storing historical session data pertaining to user sessions and archived search queries submitted by users to a search engine; analyzing the historical session data to identify ambiguous queries, including semantically ambiguous queries and multi-language queries; monitoring search queries submitted to the search engine to detect the ambiguous queries; and in response to detecting an ambiguous query, generating a query resolution interface that displays categorical groupings, each of which corresponds to a possible intention of the ambiguous query. Other embodiments are disclosed herein.

Systems and methods for detecting and resolving ambiguous search queries

A result ranking system can include a computing device that is configured to obtain a plurality of items based on a query and a value corresponding to each item of the plurality of items. The computing system can also be configured to retrieve a value distribution corresponding to the query and generated based on customer interaction data. The computing system can also, for each item of the plurality of items, determine a feature value based on the value distribution and the corresponding value of the item. The computing system can be further configured to transmit the plurality of items to a customer device for display in an arrangement based on the corresponding feature value.

System, method, and computer readable medium for improving ecommerce search ranking via query-price affinity values

A systems including one or more processors and one or more non-transitory computer readable media storing computing instructions that, when executed on the one or more processors, perform: receiving in-session user activity information, the in-session user activity information comprising a user search query from a user and a ranked list of products to be displayed to the user based on the user search query, and a product of the products being part of a boost category; determining a respective content model prediction score for each of the products of the ranked list of the products; determining a respective discounted cumulative gain (DCG) score for each of the products of the ranked list of the products; analyzing the product that is part of the boost category to determine if the product is to be repositioned within the ranked list of the products based on the respective DCG score for each of the products; and in response to determining that the product that is part of the boost category is to be repositioned, transmitting instructions to modify a graphical user interface to display the ranked list of the products with the product repositioned within the ranked list of the products. Other embodiments are described.

Systems and methods for altering a graphical user interface based on exploration of search query ranking

Growing community of inventors

San Carlos, CA, United States of America

Rajyashree Mukherjee