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Recommender Systems

1012 directly classified papers

Papers per year

Papers

Probabilistic low-rank matrix completion on finite alphabets NIPS 2014
A Latent Source Model for Online Collaborative Filtering NIPS 2014
Probabilistic Matrix Factorization with Non-random Missing Data ICML 2014
Controlling privacy in recommender systems NIPS 2014
New Learning Methods for Supervised and Unsupervised Preference Aggregation JMLR 2014
Scalable Collaborative Bayesian Preference Learning AISTATS 2014
Collaborative Ranking for Local Preferences AISTATS 2014
Joint Inference of Multiple Label Types in Large Networks ICML 2014
Bayesian Nonparametric Poisson Factorization for Recommendation Systems AISTATS 2014
Ranking via Robust Binary Classification NIPS 2014
Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS) NIPS 2014
Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques ICML 2014
Online Clustering of Bandits ICML 2014
Cold-start Active Learning with Robust Ordinal Matrix Factorization ICML 2014
Content-based recommendations with Poisson factorization NIPS 2014
Pseudo-reward Algorithms for Contextual Bandits with Linear Payoff Functions ACML 2014
A UCB-Like Strategy of Collaborative Filtering ACML 2014
Ordinal Random Fields for Recommender Systems ACML 2014
Universal Option Models NIPS 2014
Expectation-Maximization for Learning Determinantal Point Processes NIPS 2014
Effective Sampling and Learning for Mallows Models with Pairwise-Preference Data JMLR 2014
Reconstructing Storyline Graphs for Image Recommendation from Web Community Photos CVPR 2014
Exact and Stable Recovery of Pairwise Interaction Tensors NIPS 2013
Aggregating Predictions via Sequential Mini-Trading ACML 2013
Second Order Online Collaborative Filtering ACML 2013