Interactive Intelligent Systems Group
Interactive Intelligent Systems Group
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MuRS 2024: 2nd Music Recommender Systems Workshop
Music recommendation has been relevant to the Recommender Systems (RecSys) community since the early days. With the growth of music …
Andres Ferraro
,
Lorenzo Porcaro
,
Peter Knees
,
Christine Bauer
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DOI
ICORE 2026: A
GGS 2021: A
How control and transparency for users could improve artist fairness in music recommender systems
As streaming services have become a main channel for music consumption, they significantly impact various stakeholders: users, artists …
Karlijn Dinnissen
,
Christine Bauer
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Poster
Video
DOI
GGS 2021: A
Looking at the FAccTs: exploring music industry professionals' perspectives on music streaming services and recommendations
Music recommender systems, commonly integrated into streaming services, help listeners find music. Previous research on such systems …
Karlijn Dinnissen
,
Isabella Saccardi
,
Marloes Vredenborg
,
Christine Bauer
Cite
Slides
Video
DOI
ACM Author-izer
Postprint
Strategies for mitigating artist gender bias in music recommendation: a simulation study
Recommender systems are prone to various biases. Hence, bias mitigation approaches are needed to counteract those. In the music sector, …
Christine Bauer
,
Andres Ferraro
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DOI
Third workshop: perspectives on the evaluation of recommender systems (PERSPECTIVES 2023)
Evaluation is important when developing and deploying recommender systems. The PERSPECTIVES workshop sheds light on the different, …
Alan Said
,
Eva Zangerle
,
Christine Bauer
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DOI
ACM Author-izer
ICORE 2026: A
GGS 2021: A
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