An efficient non-negative matrix-factorization-based approach to collaborative filtering for recommender systems

X Luo, M Zhou, Y Xia, Q Zhu - IEEE Transactions on Industrial …, 2014 - ieeexplore.ieee.org
Matrix-factorization (MF)-based approaches prove to be highly accurate and scalable in
addressing collaborative filtering (CF) problems. During the MF process, the non-negativity …
被引用次数：699 相关文章

An Efficient Non-Negative Matrix-Factorization-Based Approach to Collaborative Filtering for Recommender Systems

X Luo, M Zhou, Y Xia, Q Zhu - IEEE Transactions on Industrial Informatics, 2014 - infona.pl
Matrix-factorization (MF)-based approaches prove to be highly accurate and scalable in
addressing collaborative filtering (CF) problems. During the MF process, the non-negativity …

An efficient non-negative matrix-factorization-based approach to collaborative filtering for recommender systems

X Luo, M Zhou, Y Xia, Q Zhu - IEEE Transactions on Industrial …, 2014 - researchwith.njit.edu
Abstract Matrix-factorization (MF)-based approaches prove to be highly accurate and
scalable in addressing collaborative filtering (CF) problems. During the MF process, the non …

[引用][C] An Efficient Non-Negative Matrix-Factorization-Based Approach to Collaborative Filtering for Recommender Systems

X Luo, M Zhou, Y Xia, Q Zhu - IEEE Transactions on Industrial …, 2014 - cir.nii.ac.jp
An Efficient Non-Negative Matrix-Factorization-Based Approach to Collaborative Filtering
for Recommender Systems | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ …