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Nobuhiro Kaji

1 accepted papers

2025

Search Query Embeddings via User-behavior-driven Contrastive Learning

NAACL 2025industry

Universal query embeddings that accurately capture the semantic meaning of search queries are crucial for supporting a range of query understanding (QU) tasks within enterprises.However, current embedding approaches often struggle to effectively represent queries due to the shortness of search queri…

Cited by 0SourcePDFScholar