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Recommender Systems

1,030 papers

Papers per year

9
15
98
156
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Papers

Iterative Learning for Reliable Crowdsourcing Systems NIPS 2011
Randomized Algorithms for Comparison-based Search NIPS 2011
Estimating Probabilities in Recommendation Systems AISTATS 2011
Collaborative Filtering with the Trace Norm: Learning, Bounding, and Transducing COLT 2011
Non-Stochastic Bandit Slate Problems NIPS 2010
Gaussian Process Preference Elicitation NIPS 2010
Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets NIPS 2010
Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm NIPS 2010
A New Probabilistic Model for Rank Aggregation NIPS 2010
On the Convexity of Latent Social Network Inference NIPS 2010
Multi-task Learning for Recommender System ACML 2010
Collaborative Filtering via Rating Concentration AISTATS 2010
Collaborative Filtering on a Budget AISTATS 2010
Factor Modeling for Advertisement Targeting NIPS 2009
A Data-Driven Approach to Modeling Choice NIPS 2009
Matrix Completion from Noisy Entries NIPS 2009
Scalable Collaborative Filtering Approaches for Large Recommender Systems JMLR 2009
A Survey of Accuracy Evaluation Metrics of Recommendation Tasks JMLR 2009
Structured ranking learning using cumulative distribution networks NIPS 2008
Stochastic Relational Models for Large-scale Dyadic Data using MCMC NIPS 2008
Online Models for Content Optimization NIPS 2008
Reconciling Real Scores with Binary Comparisons: A New Logistic Based Model for Ranking NIPS 2008
Mortal Multi-Armed Bandits NIPS 2008
Predictive Indexing for Fast Search NIPS 2008
Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data NIPS 2007