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Recommender Systems

1,097 papers

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Papers

Hierarchical Reinforcement Learning for Course Recommendation in MOOCs AAAI 2019 Hierarchical User and Item Representation with Three-Tier Attention for Recommendation NAACL 2019 Holographic Factorization Machines for Recommendation AAAI 2019 Hybrid Item-Item Recommendation via Semi-Parametric Embedding IJCAI 2019 Impact of Consuming Suggested Items on the Assessment of Recommendations in User Studies on Recommender Systems IJCAI 2019 Inferring Substitutable Products with Deep Network Embedding IJCAI 2019 Interaction-Aware Factorization Machines for Recommender Systems AAAI 2019 ISLF: Interest Shift and Latent Factors Combination Model for Session-based Recommendation IJCAI 2019 Joint Optimization of Tree-based Index and Deep Model for Recommender Systems NeurIPS 2019 Joint Representation Learning for Multi-Modal Transportation Recommendation AAAI 2019 Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient AAAI 2019 Large Scale Personalized Categorization of Financial Transactions AAAI 2019 Learning Binary Code for Personalized Fashion Recommendation CVPR 2019 Learning Disentangled Representations for Recommendation NeurIPS 2019 Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking IJCAI 2019 Learning Nonsymmetric Determinantal Point Processes NeurIPS 2019 Learning Shared Vertex Representation in Heterogeneous Graphs with Convolutional Networks for Recommendation IJCAI 2019 Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions AAAI 2019 Markov Random Fields for Collaborative Filtering NeurIPS 2019 MAssistant: A Personal Knowledge Assistant for MOOC Learners EMNLP 2019 Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network IJCAI 2019 Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption NeurIPS 2019 Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks IJCAI 2019 Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System AAAI 2019 Multi-modal Representation Learning for Successive POI Recommendation ACML 2019