The Contest That Shaped Careers and Inspired Research Papers
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[1] Yehuda Koren,et al. Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights , 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).
[2] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[3] John Riedl,et al. Item-based collaborative filtering recommendation algorithms , 2001, WWW '01.
[4] Roderick J. A. Little,et al. Statistical Analysis with Missing Data , 1988 .
[5] Leo Breiman,et al. Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author) , 2001 .
[6] Yehuda Koren,et al. The BellKor solution to the Netflix Prize , 2007 .
[7] Ruslan Salakhutdinov,et al. Bayesian probabilistic matrix factorization using Markov chain Monte Carlo , 2008, ICML '08.
[8] Yehuda Koren,et al. Matrix Factorization Techniques for Recommender Systems , 2009, Computer.
[9] R. Schapire. The Strength of Weak Learnability , 1990, Machine Learning.
[10] Chester Hartman,et al. Rejoinder by the Author , 1965 .
[11] Roderick J. A. Little,et al. Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data , 2002 .
[12] Yehuda Koren,et al. Collaborative filtering with temporal dynamics , 2009, KDD.
[13] Gediminas Adomavicius,et al. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions , 2005, IEEE Transactions on Knowledge and Data Engineering.