recommender system

Collaborative Recurrent Neural Networks for Dynamic Recommender Systems ACML 2016 Data Poisoning Attacks on Factorization-Based Collaborative Filtering NeurIPS 2016 Deconvolving Feedback Loops in Recommender Systems NeurIPS 2016 Dictionary Learning for Massive Matrix Factorization ICML 2016 Distributed Representations for Building Profiles of Users and Items from Text Reviews COLING 2016 LIBMF: A Library for Parallel Matrix Factorization in Shared-memory Systems JMLR 2016 Low-Rank Matrix Approximation with Stability ICML 2016 Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms ICML 2016 Efficient Thompson Sampling for Online Matrix-Factorization Recommendation NeurIPS 2015 Learning Image and User Features for Recommendation in Social Networks ICCV 2015 Music Recommenders: User Evaluation Without Real Users? IJCAI 2015 Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons ICML 2015 PU Learning for Matrix Completion ICML 2015 Time-Sensitive Recommendation From Recurrent User Activities NeurIPS 2015 A Latent Source Model for Online Collaborative Filtering NeurIPS 2014 Bayesian Nonparametric Poisson Factorization for Recommendation Systems AISTATS 2014 Content-based recommendations with Poisson factorization NeurIPS 2014 Controlling privacy in recommender systems NeurIPS 2014 Expectation-Maximization for Learning Determinantal Point Processes NeurIPS 2014 Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques ICML 2014 Online Clustering of Bandits ICML 2014 Probabilistic low-rank matrix completion on finite alphabets NeurIPS 2014 A non-IID Framework for Collaborative Filtering with Restricted Boltzmann Machines ICML 2013 Novel Boosting Frameworks to Improve the Performance of Collaborative Filtering ACML 2013 Second Order Online Collaborative Filtering ACML 2013