Christine Bauer
Christine Bauer
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Recommender Systems
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
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DOI
CORE 2023: 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
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
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DOI
ACM Author-izer
CORE 2023: A
GGS 2021: A
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
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3rd Music Recommender Systems Workshop (MuRS 2025)
3rd Music Recommender Systems Workshop (MuRS 2025), co-located with RecSys 2025.
Andrés Ferraro
,
Lorenzo Porcaro
,
Christine Bauer
22 September 2025
Event
DOI
Proceedings
MuRS: 3rd Music Recommender Systems Workshop
Music recommendation has been a core area of interest within the recommender systems community since its early days. With the rise of …
Andres Ferraro
,
Lorenzo Porcaro
,
Christine Bauer
PDF
Cite
DOI
ACM Author-izer
CORE 2023: A
GGS 2021: A
Proceedings of the 3rd Music Recommender Systems Workshop 2025
This volume of CEUR-WS proceedings includes papers of the 3rd Music Recommender Systems Workshop (MuRS 2025). The workshop is …
Andres Ferraro
,
Lorenzo Porcaro
,
Christine Bauer
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Proceedings
CfP for ECIR 2026
The CfPs for ECIR 2026 are available online.
24 August 2025
1 min read
News
You can’t always get what you want: When algorithms try but biases persist
Invited talk for a DAS Lecture at the University of Salzburg.
Christine Bauer
6 May 2025
Fair Play? Mitigating bias in music recommender systems
Invited talk at the HCI Lecture Series at the University of Salzburg.
Christine Bauer
23 April 2025
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