Christine Bauer
Christine Bauer
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recommender systems
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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Project
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
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DOI
ACM Author-izer
Postprint
Evaluating recommender systems: survey and framework
Invited talk at the 17th ACM Conference on Recommender Systems (RecSys 2023) as awardee of the Women in RecSys Journal Paper of the Year Award 2023, Senior category.
Eva Zangerle
,
Christine Bauer
22 September 2023
Project
Women in RecSys Journal Paper of the Year Award 2023, Senior category
3rd Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023)
3rd Workshop on the Perspectives on the evaluation of recommender systems, co-located with RecSys 2023.
Alan Said
,
Eva Zangerle
,
Christine Bauer
19 September 2023
Project
Proceedings
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
,
Andrés Ferraro
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Project
Frontiers of Information Access Experimentation for Research and Education (Report from Dagstuhl Seminar 23031)
This report documents the program and the outcomes of Dagstuhl Seminar 23031 ‘Frontiers of Information Access Experimentation for …
Christine Bauer
,
Ben Carterette
,
Norbert Fuhr
,
Nicola Ferro
,
Guglielmo Faggioli
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Project
DOI
Overcoming methodological challenges in information retrieval and recommender systems through awareness and education
Christine Bauer
,
Maik Fröbe
,
Dietmar Jannach
,
Udo Kruschwitz
,
Paolo Rosso
,
Damiano Spina
,
NavaTintarev
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Project
DOI
PostDoc position at Paris Lodron University Salzburg in collaboration with Salzburg Research
To strengthen our interdisciplinary research team, we week a PostDoc working at the interface of digitalisation, recommender systems and psychological models and techniques of behavioural change—a collaboration between Salzburg Research and Paris Lodron University Salzburg as part of the ‘Excellence in Digital Sciences and Interdisciplinary Technologies’ (EXDIGIT) initiative.
12 September 2023
1 min read
news
Keynote: Keep an eye on the big picture—in recommender systems research and as a scientist
Keynote at Women in RecSys 2023.
30 August 2023
Slides
Three views of a secret: embracing multiple perspectives in the evaluation of information retrieval and recommender systems
As users are increasingly confronted with information and choice overload, we need the ‘right’ information, at the …
Christine Bauer
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