Summer School on Recommender Systems 2025

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List of (Confirmed) Speakers with (Preliminary) Topics:

  • Morten Arngren: Bayesian A/B Testing and Bayesian Bandits: A Practical Guide for Recommender Systems
  • Francesco Barile, Ludovico Boratto, Amra Delic and Ladislav Peska: Group Recommender Systems
  • Toine Bogers and Mesut Kaya: Recommendation in the Labor Market
  • Li Chen: User Evaluation on Conversational Recommender Systems
  • Yashar Deldjoo and Reza Yousefi Maragheh: Modern Topics in Recommender Systems: From Generative to Agentic RecSys
  • Michael Ekstrand: Fairness and Social Impact
  • Kim Falk: Recommenders in the Wild
  • Dietmar Jannach: Recommender Systems: Value, Methods, Measurements
  • Aonghus Lawlor: Graph Neural Networks for Recommender Systems
  • Lien Michiels: Best Practices for Offline Evaluation
  • Irina Nalis: Towards Possibility: Interdisciplinary Perspectives on Enhancing Recommender Systems Beyond Accuracy
  • Erich Prem: AI, Ethics and Digital Humanism
  • Barry Smyth: People Who Liked This Also Liked … A Publication Analysis of Three Decades of Recommender Systems

The following schedule is tentative and will be updated once all details are finalized.

Monday, 15.09. Tuesday, 16.09. Wednesday, 17.09. Thursday, 18.09. Friday, 19.09.
Morning Sessions (9.00-12.30)
Lunch Breaks (12.30-14.00)
Afternoon Sessions (14:00-17:30)
Welcome Reception   Summer School Dinner Networking Event (optional) Closing Session
(16.00-17.30)

Coffee breaks are scheduled at around 10:30-11:00 and 15:30-16:00.