Publications
(2026).
The challenge of understanding explanations for user trust in AI: Insights from an experiment about job matching.
20th IFIP TC13 International Conference on Human-Computer Interaction (INTERACT 2025).
(2025).
Beyond Algorithms: Reclaiming the Interdisciplinary Roots of Recommender Systems (BEYOND 2025).
19th ACM Conference on Recommender Systems (RecSys 2025).
PDF Cite DOI ACM Author-izer CORE 2023: A GGS 2021: A
(2025).
Why Do Recommenders Recommend? Three Waves of Research Perspectives on Recommender Systems.
Beyond Algorithms: Reclaiming the Interdisciplinary Roots of Recommender Systems Workshop (BEYOND 2025).
(2025).
MuRS: 3rd Music Recommender Systems Workshop.
19th ACM Conference on Recommender Systems (RecSys 2025).
PDF Cite DOI ACM Author-izer CORE 2023: A GGS 2021: A
(2025).
Conversational Agents: A Framework for Evaluation (CAFE) (Manifesto from Dagstuhl Perspectives Workshop 24352).
Dagstuhl Manifestos.
(2025).
Conversational Agents: A Framework for Evaluation (CAFE) (Dagstuhl Perspectives Workshop 24352).
Dagstuhl Reports.
(2024).
Evaluation Perspectives of Recommender Systems: Driving Research and Education (Dagstuhl Seminar 24211).
Dagstuhl Reports.
(2024).
Fairness evaluation.
Dagstuhl Reports.
(2024).
Reflections on Recommender Systems: Past, Present, and Future (INTROSPECTIVES).
18th ACM Conference on Recommender Systems (RecSys 2024).
(2024).
It's not you, it's me: the impact of choice models and ranking strategies on gender imbalance in music recommendation.
18th ACM Conference on Recommender Systems (RecSys 2024).
