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recommender system

571 papers

RECSYS RS

Papers

Category-aware Next Point-of-Interest Recommendation via Listwise Bayesian Personalized Ranking IJCAI 2017 Context Attentive Bandits: Contextual Bandit with Restricted Context IJCAI 2017 DeepFM: A Factorization-Machine based Neural Network for CTR Prediction IJCAI 2017 Deep Learning at Alibaba IJCAI 2017 Deep Matrix Factorization Models for Recommender Systems IJCAI 2017 Disguise Adversarial Networks for Click-through Rate Prediction IJCAI 2017 Diversifying Personalized Recommendation with User-session Context IJCAI 2017 DropoutNet: Addressing Cold Start in Recommender Systems NeurIPS 2017 Dynamic Collaborative Filtering With Compound Poisson Factorization AISTATS 2017 Estimating Reactions and Recommending Products with Generative Models of Reviews IJCNLP 2017 Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks NeurIPS 2017 Improved Bounded Matrix Completion for Large-Scale Recommender Systems IJCAI 2017 Learning User Dependencies for Recommendation IJCAI 2017 Life-Stage Modeling by Customer-Manifold Embedding IJCAI 2017 Mixture-Rank Matrix Approximation for Collaborative Filtering NeurIPS 2017 Opinion Recommendation Using A Neural Model EMNLP 2017 PHD: A Probabilistic Model of Hybrid Deep Collaborative Filtering for Recommender Systems ACML 2017 Proposing a Highly Accurate Hybrid Component-Based Factorised Preference Model in Recommender Systems IJCAI 2017 Recommendation vs Sentiment Analysis: A Text-Driven Latent Factor Model for Rating Prediction with Cold-Start Awareness IJCAI 2017 Scalable Demand-Aware Recommendation NeurIPS 2017 Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation NeurIPS 2017 User-Based Opinion-based Recommendation IJCAI 2017 Bounded Off-Policy Evaluation with Missing Data for Course Recommendation and Curriculum Design ICML 2016 Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions NeurIPS 2016 Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks NeurIPS 2016