All Stories

  1. The Attention Market: Interpreting Online Fair Re-ranking as Manifold Optimization under Walrasian Equilibrium
  2. No Stakeholder Left Behind: Regret-Aware Re-ranking for Two-Sided Fair Recommendation
  3. Towards a Responsible Web: Economic Perspectives on Fairness in Information Retrieval
  4. Bringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking
  5. Unveiling and Simulating Short-Video Addiction Behaviors via Economic Addiction Theory
  6. BordaRAG: Resolving Knowledge Conflict in Retrieval-Augmented Generation via Borda Voting Process
  7. FairDiverse: A Comprehensive Toolkit for Fairness- and Diversity-aware Information Retrieval
  8. LLM-Empowered Creator Simulation for Long-Term Evaluation of Recommender Systems Under Information Asymmetry
  9. Fairness in Information Retrieval from an Economic Perspective
  10. Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics
  11. Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era
  12. Guaranteeing Accuracy and Fairness under Fluctuating User Traffic: A Bankruptcy-Inspired Re-ranking Approach
  13. LTP-MMF: Towards Long-term Provider Max-min Fairness Under Recommendation Feedback Loops
  14. Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era
  15. A Taxation Perspective for Fair Re-ranking
  16. FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval
  17. Uncovering ChatGPT’s Capabilities in Recommender Systems
  18. Syntactic-Informed Graph Networks for Sentence Matching
  19. P-MMF: Provider Max-min Fairness Re-ranking in Recommender System