- Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient
- HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation
- From Zero-Shot Learning to Cold-Start Recommendation
- RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation
- Hierarchical Context Enabled Recurrent Neural Network for Recommendation
- An Integral Tag Recommendation Model for Textual Content
- Holographic Factorization Machines for Recommendation
- CAMO: A Collaborative Ranking Method for Content Based Recommendation
- Explainable Reasoning over Knowledge Graphs for Recommendation
- Multi-Order Attentive Ranking Model for Sequential Recommendation
- Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation
- DAN: Deep Attention Neural Network for News Recommendation
- Context-Tree Recommendation vs Matrix-Factorization: Algorithm Selection and Live Users Evaluation
- Cross-Domain Recommendation via Coupled Factorization Machines
- Dynamic Explainable Recommendation Based on Neural Attentive Models