All Stories

  1. EBaReT: Expert-guided Bag Reward Transformer for Auto Bidding
  2. Optimal Return-to-Go Guided Decision Transformer for Auto-Bidding in Advertisement
  3. Reward Balancing Revisited: Enhancing Offline Reinforcement Learning for Recommender Systems
  4. AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems
  5. S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain
  6. DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems
  7. Spatiotemporal Graph Guided Multi-modal Network for Livestreaming Product Retrieval
  8. Spatiotemporal Fine-grained Video Description for Short Videos
  9. MMGCL: Meta Knowledge-Enhanced Multi-view Graph Contrastive Learning for Recommendations
  10. Soft Contrastive Sequential Recommendation
  11. Modeling User Fatigue for Sequential Recommendation
  12. Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention
  13. M 3 oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
  14. Intersectional Two-sided Fairness in Recommendation
  15. Measuring Item Global Residual Value for Fair Recommendation
  16. Multi-Task Recommendations with Reinforcement Learning
  17. Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems from a Multi-task Perspective
  18. Make Fairness More Fair
  19. C²-CRS