recommendation system

Towards Deep Conversational Recommendations NeurIPS 2018 Using Contextual Bandits with Behavioral Constraints for Constrained Online Movie Recommendation IJCAI 2018 Assessing Objective Recommendation Quality through Political Forecasting EMNLP 2017 Context Selection for Embedding Models NeurIPS 2017 Disguise Adversarial Networks for Click-through Rate Prediction IJCAI 2017 Interactive Submodular Bandit NeurIPS 2017 Multi-output Polynomial Networks and Factorization Machines NeurIPS 2017 Position-based Multiple-play Bandit Problem with Unknown Position Bias NeurIPS 2017 Provably Optimal Algorithms for Generalized Linear Contextual Bandits ICML 2017 What to Do Next: Modeling User Behaviors by Time-LSTM IJCAI 2017 A Neural Autoregressive Approach to Collaborative Filtering ICML 2016 Blind Regression: Nonparametric Regression for Latent Variable Models via Collaborative Filtering NeurIPS 2016 Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions NeurIPS 2016 Data Poisoning Attacks on Factorization-Based Collaborative Filtering NeurIPS 2016 Distributed Representations for Building Profiles of Users and Items from Text Reviews COLING 2016 Fast Collaborative Filtering from Implicit Feedback with Provable Guarantees ACML 2016 Geometry Aware Mappings for High Dimensional Sparse Factors AISTATS 2016 LLORMA: Local Low-Rank Matrix Approximation JMLR 2016 Recommendations as Treatments: Debiasing Learning and Evaluation ICML 2016 Bayesian Nonparametric Poisson Factorization for Recommendation Systems AISTATS 2014 Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques ICML 2014 A Gang of Bandits NeurIPS 2013 Learning Policies for Contextual Submodular Prediction ICML 2013 Local Low-Rank Matrix Approximation ICML 2013 Automatic Feature Induction for Stagewise Collaborative Filtering NeurIPS 2012