Publications
(2026).
Towards a Stakeholder-Centered Auditing Framework for Assessing Fairness in (Music) Recommender Systems.
34th ACM International Conference on User Modeling, Adaptation and Personalization (UMAP 2026).
(2026).
Modelling preference heterogeneity for context-aware decision support during public transport disruptions.
34th ACM International Conference on User Modeling, Adaptation and Personalization (UMAP 2026).
(2026).
Enhancing diversity in news recommendations increases click-through rates: Insights from an online experiment and user study.
34th ACM International Conference on User Modeling, Adaptation and Personalization (UMAP 2026).
(2026).
Does tone matter? Exploring context-aware explanations in route recommendations.
34th ACM International Conference on User Modeling, Adaptation and Personalization (UMAP 2026).
(2026).
Study on the discoverability of diverse European cultural content in the digital environment – Final report.
Publications Office of the European Union.
(2026).
'Now what?' Modelling route choices for personalised context-aware decision-support during public transport disruptions.
Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ‘26).
(2026).
Report on the Second Workshop on Simulations for Information Access (Sim4IA 2025) at SIGIR 2025.
ACM SIGIR Forum.
(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).
(2026).
EXID: Development and Validation of the Experienced Impact of Disruptions Scale.
Transportation Research Part F: Traffic Psychology and Behaviour.
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Supplementary Material (.zip)
JIF 2025: 5.0 VHB 2024: B
(2025).
Conversational Agents: A Framework for Evaluation (CAFE) (Dagstuhl Perspectives Workshop 24352).
Dagstuhl Manifestos.
(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).
Beyond Algorithms: Reclaiming the Interdisciplinary Roots of Recommender Systems (BEYOND 2025).
19th ACM Conference on Recommender Systems (RecSys 2025).
(2025).
MuRS: 3rd Music Recommender Systems Workshop.
19th ACM Conference on Recommender Systems (RecSys 2025).
(2025).
Conversational Agents: A Framework for Evaluation (CAFE) (Dagstuhl Perspectives Workshop 24352).
Dagstuhl Reports.
(2024).
Fairness evaluation.
Dagstuhl Reports.
(2024).
Evaluation Perspectives of Recommender Systems: Driving Research and Education (Dagstuhl Seminar 24211).
Dagstuhl Reports.
(2024).
Reflections on Recommender Systems: Past, Present, and Future (INTROSPECTIVES).
18th ACM Conference on Recommender Systems (RecSys 2024).
(2024).
MuRS 2024: 2nd Music Recommender Systems Workshop.
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).
(2024).
Ja, Panik!—Der Weg durch den Tech Panic Cycle in den Kunst-, Kultur- und Kreativsektoren.
Fokus Künstliche Intelligenz.
(2024).
Where are the values? A systematic literature review on news recommender systems.
ACM Transactions on Recommender Systems.
PDF Cite Video DOI Women in RecSys Journal Paper of the Year Award 2024, Senior category
(2024).
Exploring the landscape of recommender systems evaluation: practices and perspectives.
ACM Transactions on Recommender Systems.
(2024).
Introduction to the Special Issue on Perspectives on Recommender Systems Evaluation.
ACM Transactions on Recommender Systems.
(2024).
Report on the PhD Symposium at CIKM 2023.
ACM SIGIR Forum.
(2023).
How control and transparency for users could improve artist fairness in music recommender systems.
24th International Society for Music Information Retrieval Conference (ISMIR 2023).
(2023).
Strategies for mitigating artist gender bias in music recommendation: a simulation study.
Music Recommender Systems Workshop (MuRS 2023).
(2023).
Third workshop: perspectives on the evaluation of recommender systems (PERSPECTIVES 2023).
17th ACM Conference on Recommender Systems (RecSys 2023).
(2023).
Three views of a secret: embracing multiple perspectives in the evaluation of information retrieval and recommender systems.
13th Italian Information Retrieval Workshop.