An Analysis of Probabilistic Methods for Top-N Recommendation in Collaborative Filtering
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[1] Alfred Kobsa,et al. The Adaptive Web, Methods and Strategies of Web Personalization , 2007, The Adaptive Web.
[2] Michael J. Pazzani,et al. Content-Based Recommendation Systems , 2007, The Adaptive Web.
[3] John Riedl,et al. Item-based collaborative filtering recommendation algorithms , 2001, WWW '01.
[4] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[5] Roberto Turrin,et al. Performance of recommender algorithms on top-n recommendation tasks , 2010, RecSys '10.
[6] Ruslan Salakhutdinov,et al. Bayesian probabilistic matrix factorization using Markov chain Monte Carlo , 2008, ICML '08.
[7] Sean M. McNee,et al. Being accurate is not enough: how accuracy metrics have hurt recommender systems , 2006, CHI Extended Abstracts.
[8] M. Matteucci,et al. An Evaluation Methodology for Collaborative Recommender Systems , 2008, 2008 International Conference on Automated Solutions for Cross Media Content and Multi-Channel Distribution.
[9] Benjamin M. Marlin,et al. Modeling User Rating Profiles For Collaborative Filtering , 2003, NIPS.
[10] Thomas Hofmann,et al. Collaborative filtering via gaussian probabilistic latent semantic analysis , 2003, SIGIR.
[11] Mouzhi Ge,et al. Beyond accuracy: evaluating recommender systems by coverage and serendipity , 2010, RecSys '10.
[12] Deepak Agarwal,et al. fLDA: matrix factorization through latent dirichlet allocation , 2010, WSDM '10.
[13] Thore Graepel,et al. Matchbox: large scale online bayesian recommendations , 2009, WWW '09.
[14] Benjamin M. Marlin,et al. Collaborative Filtering: A Machine Learning Perspective , 2004 .
[15] Arindam Banerjee,et al. Generalized Probabilistic Matrix Factorizations for Collaborative Filtering , 2010, 2010 IEEE International Conference on Data Mining.
[16] Douglas B. Terry,et al. Using collaborative filtering to weave an information tapestry , 1992, CACM.
[17] Thomas Hofmann,et al. Latent Class Models for Collaborative Filtering , 1999, IJCAI.
[18] Nicola Barbieri,et al. A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data (Extended Abstract) , 2011, SEBD.
[19] Thomas Hofmann,et al. Latent semantic models for collaborative filtering , 2004, TOIS.
[20] Ruslan Salakhutdinov,et al. Probabilistic Matrix Factorization , 2007, NIPS.
[21] Xin Jin,et al. A maximum entropy web recommendation system: combining collaborative and content features , 2005, KDD '05.