- A Capsule Network for Recommendation and Explaining What You Like and Dislike
- A Collaborative Session-based Recommendation Approach with Parallel Memory Modules
- A General Framework for Counterfactual Learning-to-Rank
- A Neural Influence Diffusion Model for Social Recommendation
- Accelerated Query Processing Via Similarity Score Prediction
- Bayesian Personalized Feature Interaction Selection for Factorization Machines
- Compositional Coding for Collaborative Filtering
- CROSS: Cross-platform Recommendation for Social E-Commerce
- Interact and Decide: Medley of Sub-Attention Networks for Effective Group Recommendation
- Neural Graph Collaborative Filtering
- Noise Contrastive Estimation for One-Class Collaborative Filtering
- Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network
- Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
- Relational Collaborative Filtering: Modeling Multiple Item Relations for Recommendation
- Transparent, Scrutable and Explainable User Models for Personalized Recommendation
- Unified Collaborative Filtering over Graph Embeddings
- Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings
- π-Net: A Parallel Information-sharing Network for Cross-domain Shared-account Sequential Recommendations