All Stories

  1. Unbiased Reasoning for Knowledge-Intensive Tasks in Large Language Models via Conditional Front-Door Adjustment
  2. PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation
  3. Can Large Language Models Be a Good Evaluator for Review-based Product Question Answering?
  4. Towards Better Evaluation of Recommendation Algorithms with Bi-directional Item Response Theory
  5. Explaining Recommendation Fairness from a User/Item Perspective
  6. Temporal Conformity-aware Hawkes Graph Network for Recommendations
  7. Dynamic Bi-layer Graph Learning for Context-aware Sequential Recommendation
  8. Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction
  9. The Footprint of Factorization Models and Their Applications in Collaborative Filtering
  10. NEST
  11. How Collaborative Filtering Behaves When Groups of Users Suddenly Shift Preference?
  12. FairGAN: GANs-based Fairness-aware Learning for Recommendations with Implicit Feedback
  13. Translating Human Mobility Forecasting through Natural Language Generation
  14. Popularity Bias in False-positive Metrics for Recommender Systems Evaluation
  15. G-CREWE: Graph CompREssion With Embedding for Network Alignment
  16. Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors
  17. Metrics Disagreement in Recommender Systems Evaluation
  18. Intelligent Task Recognition: Towards Enabling Productivity Assistance in Daily Life
  19. What Will You Do for the Rest of the Day?
  20. How People Use the Web in Large Indoor Spaces