Recommender Systems

Learning From Ordered Sets and Applications in Collaborative Ranking ACML 2012 Learning Label Trees for Probabilistic Modelling of Implicit Feedback NeurIPS 2012 Learning to Discover Social Circles in Ego Networks NeurIPS 2012 Matrix reconstruction with the local max norm NeurIPS 2012 Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction NeurIPS 2012 On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking NeurIPS 2012 PREA: Personalized Recommendation Algorithms Toolkit JMLR 2012 SVDFeature: A Toolkit for Feature-based Collaborative Filtering JMLR 2012 Topic-Partitioned Multinetwork Embeddings NeurIPS 2012 A Collaborative Mechanism for Crowdsourcing Prediction Problems NeurIPS 2011 A Denoising View of Matrix Completion NeurIPS 2011 A Machine Learning Approach to Predict Chemical Reactions NeurIPS 2011 Collaborative Filtering with the Trace Norm: Learning, Bounding, and Transducing COLT 2011 Divide-and-Conquer Matrix Factorization NeurIPS 2011 Efficient Online Learning via Randomized Rounding NeurIPS 2011 Estimating Probabilities in Recommendation Systems AISTATS 2011 Iterative Learning for Reliable Crowdsourcing Systems NeurIPS 2011 Linear Submodular Bandits and their Application to Diversified Retrieval NeurIPS 2011 Randomized Algorithms for Comparison-based Search NeurIPS 2011 RTRMC: A Riemannian trust-region method for low-rank matrix completion NeurIPS 2011 A New Probabilistic Model for Rank Aggregation NeurIPS 2010 Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm NeurIPS 2010 Collaborative Filtering on a Budget AISTATS 2010 Collaborative Filtering via Rating Concentration AISTATS 2010 Gaussian Process Preference Elicitation NeurIPS 2010