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Karlijn Dinnissen
Karlijn Dinnissen
PhD Candidate, Utrecht University
Zweryfikowany adres z uu.nl - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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Fairness in music recommender systems: A stakeholder-centered mini review
K Dinnissen, C Bauer
Frontiers in big Data 5, 913608, 2022
352022
Amplifying artists’ voices: Item provider perspectives on influence and fairness of music streaming platforms
K Dinnissen, C Bauer
Proceedings of the 31st ACM Conference on User Modeling, Adaptation and …, 2023
192023
Improving Fairness and Transparency for Artists in Music Recommender Systems
K Dinnissen
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
52022
Fairness in music recommender systems: a stakeholder-centered mini review. Frontiers in Big Data 5, Article 913608 (2022), 9 pages
K Dinnissen, C Bauer
52022
Looking at the FAccTs: Exploring Music Industry Professionals' Perspectives on Music Streaming Services and Recommendations
K Dinnissen, I Saccardi, M Vredenborg, C Bauer
Proceedings of the 2nd International Conference of the ACM Greek SIGCHI …, 2023
42023
The sound of valence: Phonological features predict word meaning
K Dinnissen, MM Louwerse
Proceedings of the Annual Meeting of the Cognitive Science Society 37, 2015
42015
Putting Popularity Bias Mitigation to the Test: A User-Centric Evaluation in Music Recommenders
R Ungruh, K Dinnissen, A Volk, MS Pera, H Hauptmann
Proceedings of the 18th ACM Conference on Recommender Systems, 169-178, 2024
32024
How Control and Transparency for Users Could Improve Artist Fairness in Music Recommender Systems.
K Dinnissen, C Bauer
ISMIR, 482-491, 2023
32023
FAccTRec 2024: The 7th Workshop on Responsible Recommendation
MD Ekstrand, T Kamishima, A Raj, K Dinnissen
Proceedings of the 18th ACM Conference on Recommender Systems, 1200-1201, 2024
12024
FAccTRec 2023: The 6th Workshop on Responsible Recommendation
M Ekstrand, J Garcia-Gathright, N Sonboli, A Raj, K Dinnissen
Proceedings of the 17th ACM Conference on Recommender Systems, 1267-1268, 2023
12023
A Stakeholder-Centered View on Fairness in Music Recommender Systems
K Dinnissen, C Bauer
arXiv preprint arXiv:2209.06126, 2022
12022
Fairness and Transparency in Music Recommender Systems: Improvements for Artists
K Dinnissen
Proceedings of the 18th ACM Conference on Recommender Systems, 1368-1375, 2024
2024
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