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Recommender Systems

1,030 papers

Papers per year

9
15
98
156
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Papers

Matrix Completion with Noisy Side Information NIPS 2015
Efficient Thompson Sampling for Online Matrix-Factorization Recommendation NIPS 2015
Collaboratively Learning Preferences from Ordinal Data NIPS 2015
Collaborative Filtering with Graph Information: Consistency and Scalable Methods NIPS 2015
Preference Relation-based Markov Random Fields for Recommender Systems ACML 2015
A Topic Modeling Approach to Ranking AISTATS 2015
Neuroaesthetics in Fashion: Modeling the Perception of Fashionability CVPR 2015
A Collaborative Filtering Approach to Real-Time Hand Pose Estimation ICCV 2015
Non-Linear Cross-Domain Collaborative Filtering via Hyper-Structure Transfer ICML 2015
MRA-based Statistical Learning from Incomplete Rankings ICML 2015
Bipartite Edge Prediction via Transductive Learning over Product Graphs ICML 2015
Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons ICML 2015
PU Learning for Matrix Completion ICML 2015
Music Recommenders: User Evaluation Without Real Users? IJCAI 2015
Distributed Matrix Completion and Robust Factorization JMLR 2015
Probabilistic low-rank matrix completion on finite alphabets NIPS 2014
Controlling privacy in recommender systems NIPS 2014
Content-based recommendations with Poisson factorization NIPS 2014
Universal Option Models NIPS 2014
Expectation-Maximization for Learning Determinantal Point Processes NIPS 2014
Ranking via Robust Binary Classification NIPS 2014
Learning Mixed Multinomial Logit Model from Ordinal Data NIPS 2014
Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS) NIPS 2014
Discovering, Learning and Exploiting Relevance NIPS 2014
A Latent Source Model for Online Collaborative Filtering NIPS 2014