Interactive Intelligent Systems Group
Interactive Intelligent Systems Group
News
Team
Events
Talks
Publications
Media & Press
Teaching
Thesis projects
Recommender Systems
2nd Workshop on Beyond Algorithms: A Workshop on the Interdisciplinarity of Recommender Systems (BEYOND 2026)
2nd Workshop on Beyond Algorithms: A Workshop on the Interdisciplinarity of Recommender Systems (BEYOND 2026), co-located with RecSys 2026.
Christine Bauer
,
Eva Zangerle
,
Alan Said
2 October 2026
Event
4th Music Recommender Systems Workshop (MuRS 2026)
4th Music Recommender Systems Workshop (MuRS 2026), co-located with RecSys 2026.
Andrés Ferraro
,
Lorenzo Porcaro
,
Marta Moscati
,
Christine Bauer
28 September 2026
Event
Does tone matter? Exploring context-aware explanations in route recommendations
Recommendation algorithms support decision-making, yet their reasoning is often opaque. Explanations can improve user understanding, …
Marloes Vredenborg
,
Marit Bentvelzen
,
Christine Bauer
,
Judith Masthoff
Cite
DOI
ACM Author-izer
ICORE 2026: A
GGS 2021: B
Enhancing diversity in news recommendations increases click-through rates: Insights from an online experiment and user study
Diversity is a widely studied beyond-accuracy aspect of recommender systems, particularly in the news domain. Extensive research has …
Robin Verachtert
,
Kim Falk
,
Christine Bauer
Cite
DOI
ACM Author-izer
ICORE 2026: A
GGS 2021: B
Special Issue: Music Recommender Systems (ACM TORS)
Together with Elena V. Epure, Andrés Ferraro, and Lorenzo Porcaro, Christine Bauer is serving as a Guest Editor for the Special Issue ‘Music Recommender Systems’ in the journal ACM Transactions on Recommender Systems.
Christine Bauer
22 February 2026
News
The challenge of understanding explanations for user trust in AI: Insights from an experiment about job matching
Artificial Intelligence (AI) is widely used in recruitment with Job Recommender Systems (JRS) being designed for job matching. However, …
Glenda Hannibal
,
Christine Bauer
Cite
DOI
ICORE 2026: B
GGS 2021: B
Beyond Algorithms: Reclaiming the Interdisciplinary Roots of Recommender Systems (BEYOND 2025)
Workshop on Beyond Algorithms: Reclaiming the Interdisciplinary Roots of Recommender Systems (BEYOND 2025), co-located with RecSys 2025.
Eva Zangerle
,
Alan Said
,
Christine Bauer
26 September 2025
Event
DOI
Proceedings
Beyond Algorithms: Reclaiming the Interdisciplinary Roots of Recommender Systems (BEYOND 2025)
This workshop challenges the machine learning-centric focus of modern recommender systems research by reconnecting the field with its …
Eva Zangerle
,
Alan Said
,
Christine Bauer
PDF
Cite
DOI
ACM Author-izer
ICORE 2026: A
GGS 2021: A
Proceedings of Beyond Algorithms: Reclaiming the Interdisciplinary Roots of Recommender Systems Workshop (BEYOND 2025)
Eva Zangerle
,
Alan Said
,
Christine Bauer
Cite
Proceedings
Why do recommenders recommend? Three waves of research perspectives on recommender systems
Research on Recommender Systems (RSs) has evolved across disciplines, from a focus on technical optimization to a broader interest in …
Annelien Smets
,
Christine Bauer
PDF
Cite
»
Cite
×