Recommender Systems

Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse NAACL 2018 Mixture Matrix Completion NeurIPS 2018 Somm: Into the Model EMNLP 2018 Thread Popularity Prediction and Tracking with a Permutation-invariant Model EMNLP 2018 Beyond Parity: Fairness Objectives for Collaborative Filtering NeurIPS 2017 Category-aware Next Point-of-Interest Recommendation via Listwise Bayesian Personalized Ranking IJCAI 2017 Disguise Adversarial Networks for Click-through Rate Prediction IJCAI 2017 DPSCREEN: Dynamic Personalized Screening NeurIPS 2017 IIIT-H at IJCNLP-2017 Task 3: A Bidirectional-LSTM Approach for Review Opinion Diversification IJCNLP 2017 Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach IJCAI 2017 PHD: A Probabilistic Model of Hybrid Deep Collaborative Filtering for Recommender Systems ACML 2017 Scalable Demand-Aware Recommendation NeurIPS 2017 Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions NeurIPS 2016 Collaborative Recurrent Neural Networks for Dynamic Recommender Systems ACML 2016 Comparative Deep Learning of Hybrid Representations for Image Recommendations CVPR 2016 Fast Constrained Submodular Maximization: Personalized Data Summarization ICML 2016 Hashtag Recommendation Using End-To-End Memory Networks with Hierarchical Attention COLING 2016 Multiple-Play Bandits in the Position-Based Model NeurIPS 2016 Regret Bounds for Non-decomposable Metrics with Missing Labels NeurIPS 2016 Unifying Topic, Sentiment & Preference in an HDP-Based Rating Regression Model for Online Reviews ACML 2016 Efficient Thompson Sampling for Online Matrix-Factorization Recommendation NeurIPS 2015 Controlling privacy in recommender systems NeurIPS 2014 Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising ICML 2014 Predicting User Annoyance Using Visual Attributes CVPR 2014 Scalable Variational Bayesian Matrix Factorization with Side Information AISTATS 2014