MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems - researchr publication authors

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Yun-Yong Ko, Jae-Seo Yu, Hong-Kyun Bae, Yongjun Park, Dongwon Lee 0001, Sang-Wook Kim. MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems. In James Bailey 0001, Pauli Miettinen, Yun Sing Koh, Dacheng Tao, Xindong Wu 0001, editors, IEEE International Conference on Data Mining, ICDM 2021, Auckland, New Zealand, December 7-10, 2021. pages 290-299, IEEE, 2021. [doi]

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