Collaborative prediction using ensembles of Maximum Margin Matrix Factorizations
暂无分享,去创建一个
[1] Michael J. Pazzani,et al. Learning Collaborative Information Filters , 1998, ICML.
[2] John Riedl,et al. Combining Collaborative Filtering with Personal Agents for Better Recommendations , 1999, AAAI/IAAI.
[3] Mark Claypool,et al. Combining Content-Based and Collaborative Filters in an Online Newspaper , 1999, SIGIR 1999.
[4] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[5] Raymond J. Mooney,et al. Content-boosted collaborative filtering for improved recommendations , 2002, AAAI/IAAI.
[6] Ran El-Yaniv,et al. Variance Optimized Bagging , 2002, ECML.
[7] John C. Platt,et al. Online Bayes Point Machines , 2003, PAKDD.
[8] Thomas Hofmann,et al. Latent semantic models for collaborative filtering , 2004, TOIS.
[9] Benjamin M. Marlin,et al. Collaborative Filtering: A Machine Learning Perspective , 2004 .
[10] Giorgio Valentini,et al. Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods , 2004, J. Mach. Learn. Res..
[11] Richard S. Zemel,et al. The multiple multiplicative factor model for collaborative filtering , 2004, ICML.
[12] Tommi S. Jaakkola,et al. Maximum-Margin Matrix Factorization , 2004, NIPS.
[13] Nathan Srebro,et al. Fast maximum margin matrix factorization for collaborative prediction , 2005, ICML.