A parallel matrix factorization based recommender by alternating stochastic gradient decent
X Luo, H Liu, G Gou, Y Xia, Q Zhu - Engineering Applications of Artificial …, 2012 - Elsevier
Collaborative Filtering (CF) can be achieved by Matrix Factorization (MF) with high
prediction accuracy and scalability. Most of the current MF based recommenders, however …
prediction accuracy and scalability. Most of the current MF based recommenders, however …
A parallel matrix factorization based recommender by alternating stochastic gradient decent
X Luo, H Liu, G Gou, Y Xia, Q Zhu - Engineering Applications of Artificial …, 2012 - infona.pl
Collaborative Filtering (CF) can be achieved by Matrix Factorization (MF) with high
prediction accuracy and scalability. Most of the current MF based recommenders, however …
prediction accuracy and scalability. Most of the current MF based recommenders, however …
A parallel matrix factorization based recommender by alternating stochastic gradient decent
X Luo, H Liu, G Gou, Y Xia, Q Zhu - Engineering Applications of Artificial …, 2012 - dl.acm.org
Collaborative Filtering (CF) can be achieved by Matrix Factorization (MF) with high
prediction accuracy and scalability. Most of the current MF based recommenders, however …
prediction accuracy and scalability. Most of the current MF based recommenders, however …
A parallel matrix factorization based recommender by alternating stochastic gradient decent
X Luo, H Liu, G Gou, Y Xia, Q Zhu - Engineering Applications of Artificial …, 2012 - infona.pl
Collaborative Filtering (CF) can be achieved by Matrix Factorization (MF) with high
prediction accuracy and scalability. Most of the current MF based recommenders, however …
prediction accuracy and scalability. Most of the current MF based recommenders, however …