All Stories

  1. Intuition-Guided Latent Reasoning for LLM-Based Recommendation
  2. PILA'26: Personal Intelligence in Agentic AI Era
  3. International Workshop on Multimodal Generative Search and Recommendation (MMGenSR@CIKM 2025)
  4. Personalized Image Generation with Large Multimodal Models
  5. A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems
  6. Recommendation Unlearning via Influence Function
  7. Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems
  8. GradCraft: Elevating Multi-task Recommendations through Holistic Gradient Crafting
  9. Large Language Models for Recommendation: Past, Present, and Future
  10. Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach
  11. Large Language Models are Learnable Planners for Long-Term Recommendation
  12. Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation
  13. The 2nd Workshop on Recommendation with Generative Models
  14. Large Language Models for Recommendation: Progresses and Future Directions
  15. LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting
  16. Large Language Models for Recommendation: Progresses and Future Directions
  17. The 1st Workshop on Recommendation with Generative Models
  18. Leveraging Watch-time Feedback for Short-Video Recommendations: A Causal Labeling Framework
  19. Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation
  20. TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation
  21. Causal Recommendation: Progresses and Future Directions
  22. Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation
  23. Towards Trustworthy Recommender System: A Faithful and Responsible Recommendation Perspective
  24. Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation
  25. Addressing Confounding Feature Issue for Causal Recommendation
  26. Accepted Tutorials at The Web Conference 2022
  27. Causal Intervention for Leveraging Popularity Bias in Recommendation
  28. How to Retrain Recommender System?