Recommender Systems
1,097 papers
Papers per year
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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