Recommender Systems

Preference Relation-based Markov Random Fields for Recommender Systems ACML 2015 PU Learning for Matrix Completion ICML 2015 Time-Sensitive Recommendation From Recurrent User Activities NeurIPS 2015 A Latent Source Model for Online Collaborative Filtering NeurIPS 2014 Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS) NeurIPS 2014 A UCB-Like Strategy of Collaborative Filtering ACML 2014 Bayesian Nonparametric Poisson Factorization for Recommendation Systems AISTATS 2014 Cold-start Active Learning with Robust Ordinal Matrix Factorization ICML 2014 Collaborative Hashing CVPR 2014 Collaborative Ranking for Local Preferences AISTATS 2014 Content-based recommendations with Poisson factorization NeurIPS 2014 Controlling privacy in recommender systems NeurIPS 2014 Discovering, Learning and Exploiting Relevance NeurIPS 2014 Effective Sampling and Learning for Mallows Models with Pairwise-Preference Data JMLR 2014 Expectation-Maximization for Learning Determinantal Point Processes NeurIPS 2014 Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques ICML 2014 Joint Inference of Multiple Label Types in Large Networks ICML 2014 Large-margin Weakly Supervised Dimensionality Reduction ICML 2014 Learning Mixed Multinomial Logit Model from Ordinal Data NeurIPS 2014 New Learning Methods for Supervised and Unsupervised Preference Aggregation JMLR 2014 Online Clustering of Bandits ICML 2014 Ordinal Random Fields for Recommender Systems ACML 2014 Probabilistic low-rank matrix completion on finite alphabets NeurIPS 2014 Probabilistic Matrix Factorization with Non-random Missing Data ICML 2014 Pseudo-reward Algorithms for Contextual Bandits with Linear Payoff Functions ACML 2014