Interactive Intelligent Systems Group
Interactive Intelligent Systems Group
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Recommender Systems
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
DOI
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).
Christine Bauer
28 March 2024
News
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.
Christine Bauer
10 March 2024
News
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
Cite
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
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.
Christine Bauer
7 February 2024
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
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.
Christine Bauer
18 December 2023
Music recommendation systems from the perspective of artists: what constitutes fairness?
Invited talk at JADS.
Christine Bauer
28 November 2023
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