All Stories

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