Predicting the Performance of Collaborative Filtering Algorithms
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[1] Alejandro Bellogín,et al. A Performance Prediction Approach to Enhance Collaborative Filtering Performance , 2010, ECIR.
[2] Yehuda Koren,et al. Factorization meets the neighborhood: a multifaceted collaborative filtering model , 2008, KDD.
[3] Alejandro Bellogín,et al. Predicting the Performance of Recommender Systems: An Information Theoretic Approach , 2011, ICTIR.
[4] Lars Schmidt-Thieme,et al. MyMediaLite: a free recommender system library , 2011, RecSys '11.
[5] Daniel T. Larose,et al. Discovering Knowledge in Data: An Introduction to Data Mining , 2005 .
[6] Josephine Griffith,et al. Investigations into user rating information and predictive accuracy in a collaborative filtering domain , 2012, SAC '12.
[7] Scott T. Rickard,et al. Comparing Measures of Sparsity , 2008, IEEE Transactions on Information Theory.
[8] John Riedl,et al. When recommenders fail: predicting recommender failure for algorithm selection and combination , 2012, RecSys.
[9] Kamal Kant Bharadwaj,et al. Utilizing various sparsity measures for enhancing accuracy of collaborative recommender systems based on local and global similarities , 2011, Expert Syst. Appl..