Recommender Systems

Multi-task Learning for Recommender System ACML 2010 Non-Stochastic Bandit Slate Problems NeurIPS 2010 On the Convexity of Latent Social Network Inference NeurIPS 2010 Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets NeurIPS 2010 A Data-Driven Approach to Modeling Choice NeurIPS 2009 A Survey of Accuracy Evaluation Metrics of Recommendation Tasks JMLR 2009 Factor Modeling for Advertisement Targeting NeurIPS 2009 Matrix Completion from Noisy Entries NeurIPS 2009 Scalable Collaborative Filtering Approaches for Large Recommender Systems JMLR 2009 Mortal Multi-Armed Bandits NeurIPS 2008 Online Models for Content Optimization NeurIPS 2008 Predictive Indexing for Fast Search NeurIPS 2008 Reconciling Real Scores with Binary Comparisons: A New Logistic Based Model for Ranking NeurIPS 2008 Stochastic Relational Models for Large-scale Dyadic Data using MCMC NeurIPS 2008 Structured ranking learning using cumulative distribution networks NeurIPS 2008 Automatic Generation of Social Tags for Music Recommendation NeurIPS 2007 COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking NeurIPS 2007 Predictive Matrix-Variate t Models NeurIPS 2007 Probabilistic Matrix Factorization NeurIPS 2007 Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data NeurIPS 2007 Handling Advertisements of Unknown Quality in Search Advertising NeurIPS 2006 Information Bottleneck for Non Co-Occurrence Data NeurIPS 2006