All Stories

  1. Making Recommender Systems to Be Fair and Accurate Over Time
  2. Cross-Domain Semantic Transfer for Domain Generalization
  3. A Meta-learning Approach to Mitigating the Estimation Bias of Q-learning
  4. Multi-modality frequency-aware cross attention network for fake news detection
  5. Contrastive Learning based Item Representation with Asymmetric Augmentation for Sequential Recommendation
  6. Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach
  7. A Generalized and Fast-converging Non-negative Latent Factor Model for Predicting User Preferences in Recommender Systems