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Recommender Systems

1,030 papers

Papers per year

9
15
98
156
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Papers

Aggregating Predictions via Sequential Mini-Trading ACML 2013
Learning to Top-K Search using Pairwise Comparisons AISTATS 2013
Efficient Ranking from Pairwise Comparisons ICML 2013
Learning Label Trees for Probabilistic Modelling of Implicit Feedback NIPS 2012
Topic-Partitioned Multinetwork Embeddings NIPS 2012
Collaborative Ranking With 17 Parameters NIPS 2012
On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking NIPS 2012
Learning to Discover Social Circles in Ego Networks NIPS 2012
GenDeR: A Generic Diversified Ranking Algorithm NIPS 2012
Automatic Feature Induction for Stagewise Collaborative Filtering NIPS 2012
Iterative ranking from pair-wise comparisons NIPS 2012
Collaborative Gaussian Processes for Preference Learning NIPS 2012
Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction NIPS 2012
A Coupled Indian Buffet Process Model for Collaborative Filtering ACML 2012
Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis ACML 2012
Learning From Ordered Sets and Applications in Collaborative Ranking ACML 2012
PREA: Personalized Recommendation Algorithms Toolkit JMLR 2012
SVDFeature: A Toolkit for Feature-based Collaborative Filtering JMLR 2012
Linear Submodular Bandits and their Application to Diversified Retrieval NIPS 2011
RTRMC: A Riemannian trust-region method for low-rank matrix completion NIPS 2011
A Denoising View of Matrix Completion NIPS 2011
Efficient Online Learning via Randomized Rounding NIPS 2011
A Collaborative Mechanism for Crowdsourcing Prediction Problems NIPS 2011
Divide-and-Conquer Matrix Factorization NIPS 2011
A Machine Learning Approach to Predict Chemical Reactions NIPS 2011