Christine Bauer
Christine Bauer
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Recommender Systems
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
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
22 September 2025
Event
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
Project
Wie arbeiten digitale Empfehlungssysteme?
Science talk for kids & teens.
22 April 2025
Flyer
MuRS and BEYOND @ RecSys 2025
The workshops ‘MuRS: 3rd Music Recommender Systems Workshop’ and ‘Beyond Algorithms: Reclaiming the Interdisciplinary Roots of Recommender Systems (BEYOND 2025)’ were accepted to be held at RecSys 2025 in Prague.
18 April 2025
1 min read
News
Evaluation Perspectives of Recommender Systems: Driving Research and Education (Dagstuhl Seminar 24211)
This report documents the program and the outcomes of Dagstuhl Seminar 24211, ‘Evaluation Perspectives of Recommender Systems: …
Christine Bauer
,
Alan Said
,
Eva Zangerle
PDF
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Project
DOI
Fairness evaluation
Christine Bauer
,
Michael D. Ekstrand
,
Andres Ferraro
,
Maria Maistro
,
Manel Slokom
,
Robin Verachtert
PDF
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Project
DOI
Fairness in algorithmic decision-making: The effects of bias mitigation strategies in music recommender systems
Invited talk for the “Forschungsseminar BWL” at the Department of Business at the University of Salzburg.
Christine Bauer
20 November 2024
Project
PhD position in my team in Salzburg (Austria)
We seek a
doctoral researcher (= PhD position)
with a focus on
fairness in recommender systems
in the music sector or a related field in the media sector. Funded position.
7 November 2024
1 min read
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