Christine Bauer
Christine Bauer
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Recommender Systems
PhD position at Paris Lodron University Salzburg
To strengthen our interdisciplinary research team, we seek a
PhD candidate
with focus on
recommender systems
, particularly with interest in
fairness
in recommender systems; music recommender systems; or societal implications of recommender systems.
30 January 2024
1 min read
News
Report on the 3rd Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023) at RecSys 2023
Evaluation is a central step when developing, optimizing, and deploying recommender systems. The PERSPECTIVES 2023 workshop, held as …
Alan Said
,
Eva Zangerle
,
Christine Bauer
PDF
Cite
Project
DOI
ACM Author-izer
Breaking feedback loops in recommender systems: an example on mitigating artist gender bias in the music domain
Invited talk at the University of Regensburg.
18 December 2023
Project
Three dissertations within a month
What a rich expansion to my library: 3 dissertations within a month!
13 December 2023
1 min read
News
Music recommendation systems from the perspective of artists: what constitutes fairness?
Invited talk at JADS.
28 November 2023
Project
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
PDF
Cite
Project
Poster
Video
DOI
GGS 2021: A
Survey paper on the evaluation of recommender systems accepted in ACM TORS
The survey paper on the evaluation of recommender systems with Eva Zangerle and Alan Said was accepted for publication in ACM Transaction on Recommender Systems (TORS).
28 October 2023
1 min read
News
Project
Women in RecSys Journal Paper of the Year Award 2023
Eva Zangerle and me received the Women in RecSys Journal Paper of the Year Award 2023 for our CSUR paper ‘Evaluating Recommender Systems: Survey and Framework’.
8 October 2023
1 min read
News
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
Project
Slides
Video
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
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