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Collaborative filtering analyzes user preferences for items (e.g., books, movies, restaurants, academic papers) by exploiting the similarity patterns across users.
Estimating causal effects of treatments in randomized and nonrandomized studies
D. Rubin · 1974
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Maximum likelihood from incomplete data via the EM algorithm
A. P. Dempster, N. M. Laird, and D. B. Rubin · 1977
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Statistical Analysis with Missing Data
R. J. A. Little and D. B. Rubin · 1986
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Zero-inflated Poisson regression, with an application to defects in manufacturing
D. Lambert · 1992
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Bayesian computation via the Gibbs sampler and related Markov chain Monte Carlo methods
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Latent Dirichlet allocation
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Spike and slab variable selection: frequentist and Bayesian strategies
H. Ishwaran and J. S. Rao · 2005
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Data Analysis Using Regression and Multilevel/Hierarchical Models
A. Gelman and J. Hill · 2006
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Collaborative filtering and the missing at random assumption
B. M. Marlin, R. S. Zemel, S. T. Roweis, and M. Slaney · 2007
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Probabilistic matrix factorization
A. Mnih and R. Salakhutdinov · 2007
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Collaborative filtering for implicit feedback datasets
Y. Hu, Y. Koren, and C. Volinsky · 2008
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One-class collaborative filtering
R. Pan, Y. Zhou, B. Cao, N. N. Liu, R. Lukose, M. Scholz, and Q. Yang · 2008
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Graphical models, exponential families, and variational inference
M. J. Wainwright and M. I. Jordan · 2008
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Matrix factorization techniques for recommender systems
Y. Koren, R. Bell, and C. Volinsky · 2009
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Causality: Models, Reasoning and Inference
J. Pearl · 2009
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BPR: Bayesian personalized ranking from implicit feedback
S. Rendle, C. Freudenthaler, Z. Gantner, and L. Schmidt-Thieme · 2009
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Collaborative topic modeling for recommending scientific articles
C. Wang and D. Blei · 2011
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WSABIE: Scaling up to large vocabulary image annotation
J. Weston, S. Bengio, and N. Usunier · 2011
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Response aware model-based collaborative filtering
G. Ling, H. Yang, M. R. Lyu, and I. King · 2012
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Counterfactual reasoning and learning systems: The example of computational advertising
L. Bottou, J. Peters, J. Quiñonero Candela, D. X. Charles, D. M. Chickering, E. Portugaly, D. Ray, P. Simard, and E. Snelson · 2013
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Distributed representations of words and phrases and their compositionality
T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean · 2013
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One-class collaborative filtering with random graphs
U. Paquet and N. Koenigstein · 2013
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Content-based recommendations with Poisson factorization
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Improving pairwise learning for item recommendation from implicit feedback
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Causal Inference in Statistics, Social, and Biomedical Sciences
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