bfkNN-Embed: Locally Smoothed Embedding Mixtures for Multi-interest Candidate Retrieval - researchr publication authors

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Ahmed El-Kishky, Thomas Markovich, Kenny Leung, Frank Portman, Aria Haghighi, Ying Xiao. bfkNN-Embed: Locally Smoothed Embedding Mixtures for Multi-interest Candidate Retrieval. In Hisashi Kashima, Tsuyoshi Idé, Wen-Chih Peng, editors, Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part III. Volume 13937 of Lecture Notes in Computer Science, pages 374-386, Springer, 2023. [doi]

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