SCMF: sparse covariance matrix factorization for collaborative filtering

J Shi, N Wang, Y Xia, DY Yeung, I King… - Proceedings of the …, 2013 - repository.ust.hk
Matrix factorization (MF) is a popular collaborative filtering approach for recommender
systems due to its simplicity and effectiveness. Existing MF methods either assume that all …

SCMF: sparse covariance matrix factorization for collaborative filtering

J Shi, N Wang, Y Xia, DY Yeung, I King… - Proceedings of the Twenty …, 2013 - dl.acm.org
Matrix factorization (MF) is a popular collaborative filtering approach for recommender
systems due to its simplicity and effectiveness. Existing MF methods either assume that all …

[PDF][PDF] SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering

J Shi, N Wang, Y Xia, DY Yeung, I King, J Jia - ijcai.org
Matrix factorization (MF) is a popular collaborative filtering approach for recommender
systems due to its simplicity and effectiveness. Existing MF methods either assume that all …

[PDF][PDF] SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering

J Shi, N Wang, Y Xia, DY Yeung, I King, J Jia - shijianping.me
Matrix factorization (MF) is a popular collaborative filtering approach for recommender
systems due to its simplicity and effectiveness. Existing MF methods either assume that all …

[PDF][PDF] http://repository. ust. hk/ir

J Shi, N Wang, Y Xia, DY Yeung, I King, J Jia - Intelligence, 2013 - repository.hkust.edu.hk
Matrix factorization (MF) is a popular collaborative filtering approach for recommender
systems due to its simplicity and effectiveness. Existing MF methods either assume that all …

[PDF][PDF] SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering

J Shi, N Wang, Y Xia, DY Yeung, I King, J Jia - Citeseer
Matrix factorization (MF) is a popular collaborative filtering approach for recommender
systems due to its simplicity and effectiveness. Existing MF methods either assume that all …

[PDF][PDF] SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering

J Shi, N Wang, Y Xia, DY Yeung, I King, J Jia - winsty.net
Matrix factorization (MF) is a popular collaborative filtering approach for recommender
systems due to its simplicity and effectiveness. Existing MF methods either assume that all …

[PDF][PDF] SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering

J Shi, N Wang, Y Xia, DY Yeung, I King, J Jia - winsty.net
Matrix factorization (MF) is a popular collaborative filtering approach for recommender
systems due to its simplicity and effectiveness. Existing MF methods either assume that all …

[引用][C] SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering

J Shi, N Wang, Y Xia, DY Yeung, I King, J Jia