Walmart Apollo, LLC

Jayanth Korlimarla

Wei Shen

Peng Yang

Ergin Guney

Musen Wen

Tanay Kumar Saha

Chintan Jagdish Rita

Zheng Guo

Yuxia Qiu

Yanbing Xue

Valeriy Pelyushenko

Xunfan Cai

Xiaobo Peng

Rajesh Garigipati

Manyu Zhou

Anant Furia

Systems and methods for automatically retrieving and providing digital advertisements from multiple channels with improved relevancy to a search query are disclosed. In some embodiments, based on a query, a first set of sponsored items is retrieved and ranked based on an optimization of conversion rate, and a second set of sponsored items is retrieved and ranked based on an optimization of click-through rate. Based on the first set of sponsored items and the second set of sponsored items, a ranked list of recommended items is generated for display based on an advertisement auction mechanism, in response to the query.

System and method for automatically retrieving relevant digital advertisements from multiple channels

A system 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 a taxonomy identifier corresponding to a taxonomy for a product; determining taxonomy embeddings based on the taxonomy identifier, the taxonomy embeddings representing at least a first level of the taxonomy and a second level of the taxonomy; modifying taxonomies based on a threshold to reduce a number of the taxonomy embeddings in subsequent processing; and mapping the taxonomies, as modified, to publisher placements to display the product within the taxonomies on a graphical user interface (GUI).

Systems and methods for contextual targeting optimization

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Sunnyvale, CA, United States of America

Jayanth Korlimarla