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Recommender Systems

1012 directly classified papers

Papers per year

Papers

A Neural Autoregressive Approach to Collaborative Filtering ICML 2016
Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks NIPS 2016
Data Poisoning Attacks on Factorization-Based Collaborative Filtering NIPS 2016
Deconvolving Feedback Loops in Recommender Systems NIPS 2016
Dictionary Learning for Massive Matrix Factorization ICML 2016
Low-Rank Matrix Approximation with Stability ICML 2016
Computational and Statistical Tradeoffs in Learning to Rank NIPS 2016
Collaboratively Learning Preferences from Ordinal Data NIPS 2015
Collaborative Filtering with Graph Information: Consistency and Scalable Methods NIPS 2015
Distributed Matrix Completion and Robust Factorization JMLR 2015
Preference Relation-based Markov Random Fields for Recommender Systems ACML 2015
PU Learning for Matrix Completion ICML 2015
Efficient Thompson Sampling for Online Matrix-Factorization Recommendation NIPS 2015
Neuroaesthetics in Fashion: Modeling the Perception of Fashionability CVPR 2015
Music Recommenders: User Evaluation Without Real Users? IJCAI 2015
MRA-based Statistical Learning from Incomplete Rankings ICML 2015
Bipartite Edge Prediction via Transductive Learning over Product Graphs ICML 2015
A Collaborative Filtering Approach to Real-Time Hand Pose Estimation ICCV 2015
Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons ICML 2015
Matrix Completion with Noisy Side Information NIPS 2015
Non-Linear Cross-Domain Collaborative Filtering via Hyper-Structure Transfer ICML 2015
A Topic Modeling Approach to Ranking AISTATS 2015
Collaborative Hashing CVPR 2014
Learning Mixed Multinomial Logit Model from Ordinal Data NIPS 2014
Discovering, Learning and Exploiting Relevance NIPS 2014