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]
@inproceedings{KoYBP0K21,
title = {MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems},
author = {Yun-Yong Ko and Jae-Seo Yu and Hong-Kyun Bae and Yongjun Park and Dongwon Lee 0001 and Sang-Wook Kim},
year = {2021},
doi = {10.1109/ICDM51629.2021.00039},
url = {https://doi.org/10.1109/ICDM51629.2021.00039},
researchr = {https://researchr.org/publication/KoYBP0K21},
cites = {0},
citedby = {0},
pages = {290-299},
booktitle = {IEEE International Conference on Data Mining, ICDM 2021, Auckland, New Zealand, December 7-10, 2021},
editor = {James Bailey 0001 and Pauli Miettinen and Yun Sing Koh and Dacheng Tao and Xindong Wu 0001},
publisher = {IEEE},
isbn = {978-1-6654-2398-4},
}