All Stories

  1. Recommending With, Not For: Co-Designing Recommender Systems for Social Good

    Article • ACM Transactions on Recommender Systems, August 2025, ACM (Association for Computing Machinery)

    Robin Burke

  2. Proposal for Workshop on Trust and Responsibility in Recommendation Systems at WSDM 2025

    Article • March 2025, ACM (Association for Computing Machinery)

    Robin Burke

  3. Dynamic Fairness-aware Recommendation Through Multi-agent Social Choice

    Article • ACM Transactions on Recommender Systems, November 2024, ACM (Association for Computing Machinery)

    Robin Burke, Elena Stefancova

  4. Social Choice for Heterogeneous Fairness in Recommendation

    Article • October 2024, ACM (Association for Computing Machinery)

    Robin Burke, Elena Stefancova

  5. Conducting Recommender Systems User Studies Using POPROX

    Article • October 2024, ACM (Association for Computing Machinery)

    Robin Burke

  6. Recommend Me? Designing Fairness Metrics with Providers

    Article • June 2024, ACM (Association for Computing Machinery)

    Robin Burke, Casey Fiesler

  7. 6th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2023)

    Article • June 2023, ACM (Association for Computing Machinery)

    Robin Burke, Dr. Styliani Kleanthous

  8. The Many Faces of Fairness: Exploring the Institutional Logics of Multistakeholder Microlending Recommendation

    Article • June 2023, ACM (Association for Computing Machinery)

    Robin Burke

  9. FAccTRec 2022: The 5th Workshop on Responsible Recommendation

    Article • September 2022, ACM (Association for Computing Machinery)

    Robin Burke, Toshihiro Kamishima

  10. Recommender Systems and Algorithmic Hate

    Article • September 2022, ACM (Association for Computing Machinery)

    Robin Burke, Lucia Jayne

  11. 5th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2022)

    Article • July 2022, ACM (Association for Computing Machinery)

    Robin Burke, Tsvi Kuflik

  12. Multi-agent Social Choice for Dynamic Fairness-aware Recommendation

    Article • July 2022, ACM (Association for Computing Machinery)

    Robin Burke

  13. A Graph-Based Approach for Mitigating Multi-Sided Exposure Bias in Recommender Systems

    Article • ACM Transactions on Information Systems, April 2022, ACM (Association for Computing Machinery)

    Robin Burke

  14. librec-auto: A Tool for Recommender Systems Experimentation

    Article • October 2021, ACM (Association for Computing Machinery)

    Robin Burke

  15. SimuRec: Workshop on Synthetic Data and Simulation Methods for Recommender Systems Research

    Article • September 2021, ACM (Association for Computing Machinery)

    Pablo Castells, Robin Burke

  16. User-centered Evaluation of Popularity Bias in Recommender Systems

    Article • June 2021, ACM (Association for Computing Machinery)

    Robin Burke

  17. What do users think about fairness in recommender systems?

    Article • June 2021, ACM (Association for Computing Machinery)

    Casey Fiesler, Robin Burke

  18. Flatter Is Better

    Article • ACM Transactions on Intelligent Systems and Technology, April 2021, ACM (Association for Computing Machinery)

    Robin Burke

  19. Feedback Loop and Bias Amplification in Recommender Systems

    Article • October 2020, ACM (Association for Computing Machinery)

    Robin Burke

  20. Fairness-aware Recommendation with librec-auto

    Article • September 2020, ACM (Association for Computing Machinery)

    Robin Burke

  21. The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation

    Article • September 2020, ACM (Association for Computing Machinery)

    Robin Burke

  22. Calibration in Collaborative Filtering Recommender Systems

    Article • July 2020, ACM (Association for Computing Machinery)

    Robin Burke

  23. Opportunistic Multi-aspect Fairness through Personalized Re-ranking

    Article • July 2020, ACM (Association for Computing Machinery)

    Robin Burke

  24. FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems

    Article • July 2020, ACM (Association for Computing Machinery)

    Robin Burke

  25. Experimentation with fairness-aware recommendation using librec-auto

    Article • January 2020, ACM (Association for Computing Machinery)

    Robin Burke

  26. Personalized fairness-aware re-ranking for microlending

    Article • September 2019, ACM (Association for Computing Machinery)

    Robin Burke

  27. An Algorithm for Allocating Sponsored Recommendations and Content: Unifying Programmatic Advertising and Recommender Systems

    Article • Journal of Advertising, August 2019, Taylor & Francis

    Robin Burke

  28. Fairness and Discrimination in Retrieval and Recommendation

    Article • July 2019, ACM (Association for Computing Machinery)

    Robin Burke

  29. Localized Fairness in Recommender Systems

    Article • June 2019, ACM (Association for Computing Machinery)

    Robin Burke

  30. FairUMAP 2019 Chairs' Welcome Overview

    Article • June 2019, ACM (Association for Computing Machinery)

    Robin Burke, Tsvi Kuflik, Dr. Styliani Kleanthous