Christine Bauer
Christine Bauer
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Recommender Systems
1st Workshop: Reflections on Recommender Systems Past, Present, and Future (INTROSPECTIVES 2024)
1st Workshop: Reflections on Recommender Systems Past, Present, and Future (INTROSPECTIVES 2024), co-located with RecSys 2024.
Alan Said
,
Christine Bauer
,
Eva Zangerle
14 October 2024
2nd Music Recommender Systems Workshop (MuRS 2024)
2nd Music Recommender Systems Workshop (MuRS 2024), co-located with RecSys 2024.
Andrés Ferraro
,
Lorenzo Porcaro
,
Peter Knees
,
Christine Bauer
14 October 2024
Survey paper on value-aware news recommender systems accepted in ACM TORS
The survey paper on value-aware news recommender systems with Chandni Bagchi, Olusanmi A. Hundogan, and Karin van Es was accepted for publication in ACM Transaction on Recommender Systems (TORS).
28 March 2024
1 min read
News
Project
Special Issue on Perspectives on Recommender Systems Evaluation (PRSE) in ACM TORS
The Special Issue on Perspectives on Recommender Systems Evaluation in the ACM Transactions on Recommender Systems (TORS) is now online in the ACM Digital Library.
10 March 2024
1 min read
News
Project
Music recommendation systems: what is fair from the artists' perspectives?
Talk at Karajan Music Tech Conference 2024.
7 March 2024
Exploring the landscape of recommender systems evaluation: practices and perspectives
Recommender systems research and practice are fast-developing topics with growing adoption in a wide variety of information access …
Christine Bauer
,
Eva Zangerle
,
Alan Said
PDF
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Project
DOI
ACM Author-izer
Where are the values? A systematic literature review on news recommender systems
In the recommender systems field, it is increasingly recognized that focusing on accuracy measures is limiting and misguided. …
Christine Bauer
,
Chandni Bagchi
,
Olusanmi A. Hundogan
,
Karin Van Es
PDF
Cite
Project
DOI
ACM Author-izer
Introduction to the Special Issue on Perspectives on Recommender Systems Evaluation
Evaluation plays a vital role in recommender systems—in research and practice—whether for confirming algorithmic concepts or assessing …
Christine Bauer
,
Eva Zangerle
,
Alan Said
PDF
Cite
Project
DOI
ACM Author-izer
Wie funktionieren (Musik-) Empfehlungssysteme? Und ist es für alle fair, was ich zu hören bekomme?
Talk at i-Day 2024 for future students.
7 February 2024
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
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