A nonnegative latent factor model for large-scale sparse matrices in recommender systems via alternating direction method

X Luo, MC Zhou, S Li, Z You, Y Xia… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Nonnegative matrix factorization (NMF)-based models possess fine representativeness of a
target matrix, which is critically important in collaborative filtering (CF)-based recommender …
被引用次数：317 相关文章

A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method

X Luo, MC Zhou, S Li, Z You, Y Xia… - IEEE Transactions on …, 2016 - research.polyu.edu.hk
Nonnegative matrix factorization (NMF)-based models possess fine representativeness of a
target matrix, which is critically important in collaborative filtering (CF)-based recommender …

A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method

X Luo, MC Zhou, S Li, Z You, Y Xia… - IEEE Transactions on …, 2016 - researchwith.njit.edu
Nonnegative matrix factorization (NMF)-based models possess fine representativeness of a
target matrix, which is critically important in collaborative filtering (CF)-based recommender …

A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method.

X Luo, M Zhou, S Li, Z You, Y Xia… - IEEE Transactions on …, 2015 - europepmc.org
Nonnegative matrix factorization (NMF)-based models possess fine representativeness of a
target matrix, which is critically important in collaborative filtering (CF)-based recommender …

A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method

X Luo, MC Zhou, S Li, Z You… - IEEE transactions on …, 2016 - pubmed.ncbi.nlm.nih.gov
Nonnegative matrix factorization (NMF)-based models possess fine representativeness of a
target matrix, which is critically important in collaborative filtering (CF)-based recommender …