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MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems.
Yun-Yong Ko
Jae-Seo Yu
Hong-Kyun Bae
Yongjun Park
Dongwon Lee
Sang-Wook Kim
Published in:
ICDM (2021)
Keyphrases
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matrix factorization
recommender systems
collaborative filtering
low rank
data sparsity
nonnegative matrix factorization
cold start problem
negative matrix factorization
latent factor models
factorization methods
missing data
factor analysis
implicit feedback
rating prediction