ranking

NEAR²: A Nested Embedding Approach to Efficient Product Retrieval and Ranking

E-commerce information retrieval (IR) systems struggle to simultaneously achieve high accuracy in interpreting complex user queries and maintain efficient processing of vast product catalogs. The dual challenge lies in precisely matching user intent …

Centrality-aware Product Retrieval and Ranking

This paper addresses the challenge of improving user experience on e-commerce platforms by enhancing product ranking relevant to user's search queries. Ambiguity and complexity of user queries often lead to a mismatch between user's intent and …

Product Retrieval and Ranking for Alphanumeric Queries

This talk addresses the challenge of improving user experience on e-commerce platforms by enhancing product ranking relevant to user's search queries. Queries such as S2716DG consist of alphanumeric characters where a letter or number can signify …