Christine Bauer
Christine Bauer
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Recommender Systems
Fruitful week at Dagstuhl, discussing 'Evaluation Perspectives of Recommender Systems: Driving Research and Education'
I had a fruitful week at the ‘Dagstuhl Seminar 24211: Evaluation Perspectives of Recommender Systems: Driving Research and Education’ that I co-organized with Alan Said and Eva Zangerle.
25 May 2024
1 min read
News
Project
Dagstuhl Seminar 24211: Evaluation Perspectives of Recommender Systems: Driving Research and Education
Dagstuhl Seminar 24211: Evaluation Perspectives of Recommender Systems: Driving Research and Education
Christine Bauer
,
Alan Said
,
Eva Zangerle
20 May 2024
Event
Project
DOI
Co-organizing two workshops at RecSys 2024
The workshops MuRS 2024 ‘2nd Music Recommender Systems Workshop’ and INTROSPECTIVES 2024 ‘1st Workshop: Reflections on Recommender Systems Past, Present, and Future’ were accepted to be held at RecSys 2024.
21 April 2024
1 min read
News
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.
Christine Bauer
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
Poster
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 the University of 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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