All Stories

  1. 6th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2023)

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

    Robin Burke, Styliani Kleanthous

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

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

    Robin Burke

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

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

    Robin Burke, Toshihiro Kamishima

  4. Recommender Systems and Algorithmic Hate

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

    Robin Burke, Lucia Jayne

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

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

    Robin Burke, Tsvi Kuflik

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

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

    Robin Burke

  7. 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

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

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

    Robin Burke

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

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

    Pablo Castells, Robin Burke

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

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

    Robin Burke

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

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

    Casey Fiesler, Robin Burke

  12. Flatter Is Better

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

    Robin Burke

  13. Feedback Loop and Bias Amplification in Recommender Systems

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

    Robin Burke

  14. Fairness-aware Recommendation with librec-auto

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

    Robin Burke

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

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

    Robin Burke

  16. Calibration in Collaborative Filtering Recommender Systems

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

    Robin Burke

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

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

    Robin Burke

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

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

    Robin Burke

  19. Personalized fairness-aware re-ranking for microlending

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

    Robin Burke

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

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

    Robin Burke

  21. Fairness and Discrimination in Retrieval and Recommendation

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

    Robin Burke

  22. Localized Fairness in Recommender Systems

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

    Robin Burke

  23. FairUMAP 2019 Chairs' Welcome Overview

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

    Robin Burke, Tsvi Kuflik, Styliani Kleanthous