Collaborative topic modeling for recommending scientific articles
暂无分享,去创建一个
[1] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[2] I. Biederman. Recognition-by-components: a theory of human image understanding. , 1987, Psychological review.
[3] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[4] Dimitri P. Bertsekas,et al. Nonlinear Programming , 1997 .
[5] Peter Norvig,et al. Artificial Intelligence: A Modern Approach , 1995 .
[6] John Riedl,et al. Combining Collaborative Filtering with Personal Agents for Better Recommendations , 1999, AAAI/IAAI.
[7] John Riedl,et al. An algorithmic framework for performing collaborative filtering , 1999, SIGIR '99.
[8] Albert,et al. Emergence of scaling in random networks , 1999, Science.
[9] Loriene Roy,et al. Content-based book recommending using learning for text categorization , 1999, DL '00.
[10] Mark Claypool,et al. Implicit interest indicators , 2001, IUI '01.
[11] Raymond J. Mooney,et al. Content-boosted collaborative filtering for improved recommendations , 2002, AAAI/IAAI.
[12] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[13] J. Ioannidis. Why Most Published Research Findings Are False , 2005 .
[14] Bernardo A. Huberman,et al. The Structure of Collaborative Tagging Systems , 2005, ArXiv.
[15] Michael I. Jordan,et al. Hierarchical Dirichlet Processes , 2006 .
[16] David M. Blei,et al. Supervised Topic Models , 2007, NIPS.
[17] Ruslan Salakhutdinov,et al. Probabilistic Matrix Factorization , 2007, NIPS.
[18] John D. Lafferty,et al. A correlated topic model of Science , 2007, 0708.3601.
[19] N. Logothetis,et al. Phase-of-Firing Coding of Natural Visual Stimuli in Primary Visual Cortex , 2008, Current Biology.
[20] Qiang Yang,et al. One-Class Collaborative Filtering , 2008, 2008 Eighth IEEE International Conference on Data Mining.
[21] Yifan Hu,et al. Collaborative Filtering for Implicit Feedback Datasets , 2008, 2008 Eighth IEEE International Conference on Data Mining.
[22] Ruslan Salakhutdinov,et al. Bayesian probabilistic matrix factorization using Markov chain Monte Carlo , 2008, ICML '08.
[23] C. Elkan,et al. Topic Models , 2008 .
[24] Deepak Agarwal,et al. Regression-based latent factor models , 2009, KDD.
[25] Yihong Gong,et al. Large-scale collaborative prediction using a nonparametric random effects model , 2009, ICML '09.
[26] Yehuda Koren,et al. Matrix Factorization Techniques for Recommender Systems , 2009, Computer.
[27] Chong Wang,et al. Reading Tea Leaves: How Humans Interpret Topic Models , 2009, NIPS.
[28] Arindam Banerjee,et al. Generalized Probabilistic Matrix Factorizations for Collaborative Filtering , 2010, 2010 IEEE International Conference on Data Mining.
[29] David B. Dunson,et al. Joint Analysis of Time-Evolving Binary Matrices and Associated Documents , 2010, NIPS.
[30] Deepak Agarwal,et al. fLDA: matrix factorization through latent dirichlet allocation , 2010, WSDM '10.
[31] Sean Gerrish,et al. Predicting Legislative Roll Calls from Text , 2011, ICML.