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Recommender Systems

1,030 papers

Papers per year

9
15
98
156
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Papers

Ordinal Random Fields for Recommender Systems ACML 2014
A UCB-Like Strategy of Collaborative Filtering ACML 2014
Pseudo-reward Algorithms for Contextual Bandits with Linear Payoff Functions ACML 2014
Bayesian Nonparametric Poisson Factorization for Recommendation Systems AISTATS 2014
Collaborative Ranking for Local Preferences AISTATS 2014
Scalable Collaborative Bayesian Preference Learning AISTATS 2014
Collaborative Hashing CVPR 2014
Reconstructing Storyline Graphs for Image Recommendation from Web Community Photos CVPR 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
Joint Inference of Multiple Label Types in Large Networks ICML 2014
Probabilistic Matrix Factorization with Non-random Missing Data ICML 2014
New Learning Methods for Supervised and Unsupervised Preference Aggregation JMLR 2014
Effective Sampling and Learning for Mallows Models with Pairwise-Preference Data JMLR 2014
A Gang of Bandits NIPS 2013
Distributed Exploration in Multi-Armed Bandits NIPS 2013
Modeling Overlapping Communities with Node Popularities NIPS 2013
Estimation Bias in Multi-Armed Bandit Algorithms for Search Advertising NIPS 2013
Exact and Stable Recovery of Pairwise Interaction Tensors NIPS 2013
Deep content-based music recommendation NIPS 2013
Scoring Workers in Crowdsourcing: How Many Control Questions are Enough? NIPS 2013
Speedup Matrix Completion with Side Information: Application to Multi-Label Learning NIPS 2013
Novel Boosting Frameworks to Improve the Performance of Collaborative Filtering ACML 2013
Second Order Online Collaborative Filtering ACML 2013