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Recommender Systems

1012 directly classified papers

Papers per year

Papers

Novel Boosting Frameworks to Improve the Performance of Collaborative Filtering ACML 2013
A Gang of Bandits NIPS 2013
Modeling Overlapping Communities with Node Popularities NIPS 2013
Learning to Top-K Search using Pairwise Comparisons AISTATS 2013
Efficient Ranking from Pairwise Comparisons ICML 2013
Speedup Matrix Completion with Side Information: Application to Multi-Label Learning NIPS 2013
Scoring Workers in Crowdsourcing: How Many Control Questions are Enough? NIPS 2013
Deep content-based music recommendation NIPS 2013
Distributed Exploration in Multi-Armed Bandits NIPS 2013
Estimation Bias in Multi-Armed Bandit Algorithms for Search Advertising NIPS 2013
Automatic Feature Induction for Stagewise Collaborative Filtering NIPS 2012
PREA: Personalized Recommendation Algorithms Toolkit JMLR 2012
Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis ACML 2012
A Coupled Indian Buffet Process Model for Collaborative Filtering ACML 2012
SVDFeature: A Toolkit for Feature-based Collaborative Filtering JMLR 2012
Collaborative Ranking With 17 Parameters NIPS 2012
On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking NIPS 2012
Learning Label Trees for Probabilistic Modelling of Implicit Feedback NIPS 2012
Topic-Partitioned Multinetwork Embeddings NIPS 2012
Learning to Discover Social Circles in Ego Networks NIPS 2012
Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction NIPS 2012
Learning From Ordered Sets and Applications in Collaborative Ranking ACML 2012
GenDeR: A Generic Diversified Ranking Algorithm NIPS 2012
Iterative ranking from pair-wise comparisons NIPS 2012
Collaborative Gaussian Processes for Preference Learning NIPS 2012