Karlijn Dinnissen

According to our database, Karlijn Dinnissen authored at least 14 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

FAccTRec 2025: The 8th Workshop on Responsible Recommendation.

Michael D. Ekstrand, Toshihiro Kamishima, Amifa Raj, Karlijn Dinnissen

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

(De)Composing the Algorithm: Explaining Music Recommender Systems to Artists for Understanding, Transparency, and Empowerment.

Zuzanna Michalewicz, Karlijn Dinnissen, Eelco Herder, Hanna Hauptmann

Proceedings of the 12th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2025) co-located with 19th ACM Conference on Recommender Systems (RecSys 2025), 2025

The Role of Fairness and Diversity in User Choices and Perceptions of Music Playlists.

Karlijn Dinnissen, Shah Noor Khan, Hanna Hauptmann, Eelco Herder, Judith Masthoff

Proceedings of the 36th ACM Conference on Hypertext and Social Media, 2025

2024

Putting Popularity Bias Mitigation to the Test: A User-Centric Evaluation in Music Recommenders.

Robin Ungruh, Karlijn Dinnissen, Anja Volk, Maria Soledad Pera, Hanna Hauptmann

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

FAccTRec 2024: The 7th Workshop on Responsible Recommendation.

Michael D. Ekstrand, Toshihiro Kamishima, Amifa Raj, Karlijn Dinnissen

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Fairness and Transparency in Music Recommender Systems: Improvements for Artists.

Karlijn Dinnissen

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

Amplifying Artists' Voices: Item Provider Perspectives on Influence and Fairness of Music Streaming Platforms.

Karlijn Dinnissen, Christine Bauer

Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 2023

FAccTRec 2023: The 6th Workshop on Responsible Recommendation.

Michael D. Ekstrand, Jean Garcia-Gathright, Nasim Sonboli, Amifa Raj, Karlijn Dinnissen

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

How Control and Transparency for Users Could Improve Artist Fairness in Music Recommender Systems.

Karlijn Dinnissen, Christine Bauer

Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

Looking at the FAccTs: Exploring Music Industry Professionals' Perspectives on Music Streaming Services and Recommendations.

Karlijn Dinnissen, Isabella Saccardi, Marloes Vredenborg, Christine Bauer

Proceedings of the 2nd International Conference of the ACM Greek SIGCHI Chapter, 2023

2022

Fairness in Music Recommender Systems: A Stakeholder-Centered Mini Review.

Karlijn Dinnissen, Christine Bauer

Frontiers Big Data, 2022

A Stakeholder-Centered View on Fairness in Music Recommender Systems.

Karlijn Dinnissen, Christine Bauer

CoRR, 2022

Improving Fairness and Transparency for Artists in Music Recommender Systems.

Karlijn Dinnissen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2015

The Sound of Valence: Phonological Features Predict Word Meaning.

Karlijn Dinnissen, Max M. Louwerse

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015