Program

The workshop is on Friday, Sep. 26, 2025.

long presentation = 20 mins; short presentation = 10 mins

Session 1: remote (On-site; 08:30–10:30 CEST, 06:30–08:30 UTC)

• Opening (10min)
• Reading Between the Lines: A Study of Thematic Bias in Book Recommender Systems (long)
  • Nityaa Kalra and Savvina Daniil
• Cascade! Human in the loop shortcomings can increase the risk of failures in recommender systems (short)
  • Wm. Matthew Kennedy, Nishanshi Atulkumar Shukla, Cigdem Patlak, Blake Chambers, Theodora Skeadas, Tues Day, Kinglsey Owadara and Aayush Dhanotiya (short)
• A Case Study of Balanced Query Recommendation on Wikipedia (short)
  • Harshit Mishra and Sucheta Soundarajan
• Keynote: From regulations to implementations: Building information access systems in the public interest
  • Asia Biega (Max Planck Institute for Security and Privacy)

Session 2: on-site (On-line; 11:00–12:30 CEST, 09:00–10:30 UTC)

• Envy-free but Still Unfair: EF1 in Personalized Recommendation (short)
  • Amanda Aird, Ben Armstrong, Robin Burke and Nicholas Mattei
• Fairness for niche users and providers: algorithmic choice and profile portability (short)
  • Elizabeth McKinnie, Anas Buhayh, Clement Canel and Robin Burke
• Without Fidelity, Explanations Are Just Stories: Rethinking Evaluation in Explainable Recommender Systems (long)
  • Noam Koenigstein
• Towards a Real-World Aligned Benchmark for Unlearning in Recommender Systems (long)
  • Pierre Sicco Lubitzsch, Olga Ovcharenko, Hao Chen, Maarten de Rijke and Sebastian Schelter
• Bias Mitigation for AI-Feedback Loops in Recommender Systems: A Systematic Literature Review and Taxonomy (long)
  • Theodor Stoecker, Samed Bayer and Ingo Weber
• Closing