Full papers related to the Recommender System from SIGIR 2020
- How Dataset Characteristics Affect the Robustness of Collaborative Recommendation Models
- Try This Instead: Personalized and Interpretable Substitute Recommendation
- How to Retrain a Recommender System?
- Web-to-Voice Transfer for Product Recommendation on Voice
- The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation
- Fairness-Aware Explainable Recommendation over Knowledge Graphs
- Measuring Recommendation Explanation Quality: The Conflicting Goals of Explanations
- Try This Instead: Personalized and Interpretable Substitute Recommendation
- CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network
- Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation
- Neural Interactive Collaborative Filtering
- Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning
- Towards Question-based Recommender Systems
- Deep Critiquing for VAE-based Recommender Systems
- Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation
- GroupIM: A Mutual Information Maximizing Framework for Neural Group Recommendation
- GAME: Learning Graphical and Attentive Multi-view Embeddings for Occasional Group Recommendation
- Global Context Enhanced Graph Neural Networks for Session-based Recommendation
- GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation
- Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation
- Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation
- Time Matters: Sequential Recommendation with Complex Temporal Information
- Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation
- KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation
- Next-item Recommendation with Sequential Hypergraphs
- A General Network Compression Framework for Sequential Recommender Systems
- Sequential Recommendation with Self-attentive Multi-adversarial Network
- Disentangled Representations for Graph-based Collaborative Filtering
- Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning
- Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs
- GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Identification
- Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach
- Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation
- Global Context Enhanced Graph Neural Networks for Session-based Recommendation
- Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation
- Next-item Recommendation with Sequential Hypergraphs
- Neighbor Interaction Aware Graph Convolution Networks for Recommendation
- GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation
- Hierarchical Fashion Graph Network for Personalized Outfit Recommendation
- Multi-behavior Recommendation with Graph Convolution Networks
- GAME: Learning Graphical and Attentive Multi-view Embeddings for Occasional Group Recommendation
- Lightening Graph Convolution Network for Recommendation
- Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View
- Fairness-Aware Explainable Recommendation over Knowledge Graphs
- Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation
- Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning
- Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs
- MaHRL: Multi-goals Abstraction based Deep Hierarchical Reinforcement Learning for Recommendations
- Self-Supervised Reinforcement Learning for Recommender Systems
- KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation
- AR-CF: Augmenting Virtual Users and Items in Collaborative Filtering for Addressing Cold-Start Problems
- CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network
- Recommending Podcasts for Cold-Start Users Based on Music Listening and Taste
- Content-aware Neural Hashing for Cold-start Recommendation
- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation
- Beyond User Embedding Matrix: Learning to Hash for Modeling Large-Scale Users in Recommendation
- Distributed Equivalent Substitution Training for Large-Scale Recommender Systems
- Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation
- A General Network Compression Framework for Sequential Recommender Systems
- Agreement and Disagreement between True and False-Positive Metrics in Recommender Systems Evaluation
- Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems
- Measuring Recommendation Explanation Quality: The Conflicting Goals of Explanations
- Recommending Podcasts for Cold-Start Users Based on Music Listening and Taste
- Hierarchical Fashion Graph Network for Personalized Outfit Recommendation
- Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View
- HME: A Hyperbolic Metric Embedding Approach for Next-POI Recommendation