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Pages
About
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Posts
activities
Awards
- 2024: Best Full Conference Paper, runner-up, RecSys, Bari, Italy
- 2023: Best Student Paper Nominee, UMAP, Limassol, Cyprus
- 2023: ‘Pluim’: Teaching Award in recognition of distinguished teaching, Ontwerpen van Interactieve Systemen, 2022-2023, Utrecht University
Grants
- 2025: Travel Grant Awardee, Aspasia Travel Fund to visit RecSys, 2025, Prague, Czech Republic
- 2023: Travel Grant Awardee, ISMIR 2023, Milan, Italy
- 2023: ACM Student Travel Grant Awardee, UMAP 2023, Limassol, Cyprus
- 2023: Travel Grant Awardee, RecSys Summer School 2023, Copenhagen, Denmark
Organization
- 2024-Present: Co-Chair, Women in RecSys (RecSys committee)
- 2023-Present: Co-Organizer, Fairness, Accountability and Transparency in Recommender Systems (FAccTRec) Workshop @ RecSys
- 2023-Present: Committee Member, Utrecht University Informatics Research Advisory Committee (IRAC)
- 2023-Present: Member, Open Science Community Utrecht (OSCU)
- 2022-2025: Co-chair, Human-Centred Computing group meeting, Utrecht University
- 2021-2022: Co-Lead, Preparation Committee ICS PhD Council, Utrecht University
- 2020-2021: Secretary & Co-Founder, Textkernel Works Council
- 2019-2021: Metrics Circle Lead, Textkernel
Peer Review
- 2025: Reviewer, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), ACM
- 2025: Reviewer, User Modeling and User-Adapted Interaction (UMUAI), Springer
- 2025: Program Committee, 19th ACM Conference on Recommender Systems (RecSys)
- 2025: Program Committee, 33rd ACM International Conference on User Modeling, Adaptation and Personalization (UMAP)
- 2025: Program Committee, 26th International Society for Music Information Retrieval Conference (ISMIR)
- 2025: Program Committee, 3rd Workshop on Human-Centric Music Information Research (HCMIR23) @ ISMIR
- 2024: Reviewer, Transactions on Recommender Systems (TORS), ACM
- 2024: Reviewer, User Modeling and User-Adapted Interaction (UMUAI), Springer
- 2024: Program Committee, 18th ACM Conference on Recommender Systems (RecSys)
- 2024: Program Committee, First International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood) @ RecSys
- 2023: Reviewer, Transactions on Recommender Systems (TORS), ACM
- 2023: Reviewer, User Modeling and User-Adapted Interaction (UMUAI), Springer
- 2023: Program Committee, 2nd Workshop on Human-Centric Music Information Research (HCMIR23) @ ISMIR
Service
- 2023: Expert Consultant for Expo New Urban City Lab, Ethical Data Center @ Fontys Academy for the Creative Economy, Tilburg, The Netherlands
- 2023: Student Volunteer (on-site), RecSys, Singapore, Singapore
- 2023: Student Volunteer (on-site), UMAP, Limassol, Cyprus
- 2022: Student Volunteer (on-site), RecSys, Seattle, United States
- 2021: Student Volunteer (online), RecSys, Amsterdam, The Netherlands
blogs
Using Deep Learning To Detect Advertiser Type In Jobfeed
Blog @ Textkernel, 2021
Check out the post on Textkernel’s website
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
The Sound of Valence: Phonological Features Predict Word Meaning
Full Conference Paper, 2015
Recommended citation: Dinnissen, K. & Louwerse M. M. (2015). The Sound of Valence: Phonological Features Predict Word Meaning. In Proceedings of the 37th annual Conference of the Cognitive Science Society (CogSci ’15). Austin, TX, USA: Cognitive Science Society. https://cogsci.mindmodeling.org/2015/papers/0107/paper0107.pdf
Fairness in Music Recommender Systems: A Stakeholder-centered Mini Review
Journal Paper, 2022
Recommended citation: Dinnissen, K. & Bauer, C. (2022). Fairness in Music Recommender Systems: A Stakeholder-centered Mini Review. Frontiers in Big Data 5:913608. Lausanne, Switzerland: Frontiers Media SA. https://doi.org/10.3389/fdata.2022.913608
Improving Fairness and Transparency for Artists in Music Recommender Systems
Doctoral Consortium Extended Abstract, 2022
Recommended citation: Dinnissen, K. (2022). Improving Fairness and Transparency for Artists in Music Recommender Systems. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR `22). New York, NY, USA: Association for Computing Machinery, 3498. https://doi.org/10.1145/3477495.3531681
A Stakeholder-Centered View on Fairness in Music Recommender Systems
Workshop Position Paper, 2022
Recommended citation: Dinnissen, K. & Bauer, C. (2022). A Stakeholder-Centered View on Fairness in Music Recommender Systems. In Proceedings of the 5th FAccTRec Workshop on Responsible Recommendation (FAccTRec `22) co-located with the 16th ACM Conference on Recommender Systems (RecSys). New York, NY, USA: Association for Computing Machinery. https://arxiv.org/pdf/2209.06126.pdf
Amplifying Artists’ Voices: Item Provider Perspectives on Influence and Fairness of Music Streaming Platforms
Full Conference Paper, 2023
Recommended citation: Dinnissen, K. & Bauer, C. (2023). Amplifying Artists’ Voices: Item Provider Perspectives on Influence and Fairness of Music Streaming Platforms. In Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization (UMAP `23), June 26-29, 2023, Limassol, Cyprus. New York, NY, USA: Association for Computing Machinery, 12 pages. https://doi.org/10.1145/3565472.3592960
FAccTRec 2023: The 6th Workshop on Responsible Recommendation
Extended Abstract, 2023
Recommended citation: Ekstrand, M., Garcia-Gathright, J., Sonboli, N., Raj, A. & Dinnissen, K. (2023). FAccTRec 2023: The 6th Workshop on Responsible Recommendation. In Proceedings of the 17th ACM Conference on Recommender Systems (RecSys `23), September 18, 2023, Singapore, Singapore. New York, NY, USA: Association for Computing Machinery, 1267–1268. https://doi.org/10.1145/3604915.3608761
Looking at the FAccTs: Exploring Music Industry Professionals’ Perspectives on Music Streaming Services and Recommendations
Full Conference Paper, 2023
Recommended citation: Dinnissen, K., Saccardi, I., Vredenborg, M. & Bauer, C. (2023). Looking at the FAccTs: Exploring Music Industry Professionals’ Perspectives on Music Streaming Services and Recommendations. In Proceedings of the 2nd International Conference of the ACM Greek SIGCHI Chapter (CHIGreece `23), September 27-28, 2023, Athens, Greece. New York, NY, USA: Association for Computing Machinery, 1-5. https://doi.org/10.1145/3609987.3610011
How Control and Transparency for Users Could Improve Artist Fairness in Music Recommender Systems
Full Conference Paper, 2023
Recommended citation: Dinnissen, K. & Bauer, C. (2023). How Control and Transparency for Users Could Improve Artist Fairness in Music Recommender Systems. In Proceedings of the 24th International Society for Music Information Retrieval Conference (ISMIR `23), November 5-9, 2023, Milan, Italy. 1-10. https://dspace.library.uu.nl/bitstream/handle/1874/432127/2023_ISMIR_Dinnissen_Bauer.pdf
Fairness and Transparency in Music Recommender Systems: Improvements for Artists
Doctoral Symposium Paper, 2024
Recommended citation: Dinnissen, K. (2024). Fairness and Transparency in Music Recommender Systems: Improvements for Artists. In Proceedings of the 18th ACM Conference on Recommender Systems (RecSys `24), October 14-18, 2024, Bari, Italy. 1368-1375. https://dl.acm.org/doi/pdf/10.1145/3640457.3688024
Putting Popularity Bias Mitigation to the Test: A User-Centric Evaluation in Music Recommenders
Full Conference Paper, 2024
Recommended citation: Ungruh, R., Dinnissen, K., Volk, A., Pera, M. S., Hauptmann, H. (2024). Putting Popularity Bias Mitigation to the Test: A User-Centric Evaluation in Music Recommenders. In Proceedings of the 18th ACM Conference on Recommender Systems (RecSys `24), October 14-18, 2024, Bari, Italy. 169-178. https://dl.acm.org/doi/pdf/10.1145/3640457.3688102
talks
Language & Software: Application of Natural Language Processing at Textkernel
Published:
Guest lecture for Radboud Nijmegen bachelor course Het menselijk taalvermogen: Wetenschap & Samenleving.
Fairness in Music Recommender Systems
Published:
Invited talk for the Human Computer Interaction Colloquium, as part of a course for HCI master students.
Fairness in Music Recommendation: Encoding human values into computer algorithms
Published:
In-person guest lecture for Jönköping University bachelor course Trends in HCI.
Dutch Music Artists’ Outlook on Strategy, Creativity, and Music Streaming Platform Influence During and After the COVID-19 Pandemic
Published:
In-person 30-minute presentation at the International Association of Music Libraries, Archives and Documentation Centres (IAML ‘23) Conference. The presentation slides are accessible here.
Item Provider Perspectives on Influence and Fairness of Music Streaming Platforms
Published:
Invited talk in the Music Recommender Systems Workshop at the Sound & Music Computing Lab (SMC), National University of Singapore (NUS). This seminar was chaired by Prof. Ye Wang and was open to faculties and students of School of Computing. More information and a recording of the talk are accessible here.
Amplifying Artists’ Voices: Item Provider Perspectives on Influence and Fairness of Music Streaming Platforms
Published:
In-person talk for Search Engines Amsterdam (SEA) Meetup series. The event page is accessible here.
Amplifying Artists’ Voices: Item Provider Perspectives on Influence and Fairness of Music Streaming Platforms
Published:
Lightening talk in main session “User Studies” at the first Dutch-Belgian Workshop on Recommender Systems in Antwerp, Belgium. More information about the workshop is accessible here.
Identifying Stakeholder Values in Music Recommender Systems
Published:
Invited talk for the Human Computer Interaction Colloquium, as part of a course for HCI master students.
How Control and Transparency for Users Could Improve Artist Fairness in Music Recommender Systems
Published:
Online talk for the Diversity, Explainability, Fairness in information retrieval, recommendation, and search systems (DEFirst) Reading Group. The reading group web page is accessible here, and a recording of the talk here.
Several Stakeholder Perspectives on Influence and Fairness of Music Streaming Platforms
Published:
Online talk for the EQuity & EQuality Using AI and Learning algorithms (EQUAL) Lab. More information about the lab is accessible here.
Incorporating Artist Values into Music Recommender Systems & Streaming Platforms
Published:
Online seminar for Deezer Research. More information about them is accessible here.
Incorporating Artist Values into Music Recommender Systems and Streaming Platforms
Published:
Online talk in the webinar series organized by the Low Countries Music Research Network (LoCoMus) Network. More information on all webinars is accessible here.
teaching
Men, Society and ICT
Information Sciences 1st year bachelor course, Utrecht University, 2021
Involved in the course in ‘21/’22 (click for list of tasks)
Information exchange
Information Sciences 1st year bachelor course, Utrecht University, 2021
Involved in the course in ‘21/’22 (click for list of tasks)
Design of interactive systems
Information Sciences 1st year bachelor course, Utrecht University, 2024
Involved in the course in ‘21/’22, ‘22/’23, and ‘23/’24 (click for list of tasks)
Adaptive Interactive Systems
Human Computer Interaction / Business Informatics master course, Utrecht University, 2024
Involved in the course in ‘22/’23, ‘23/’24, and ‘24/’25 (click for list of tasks)
Computer Science Bachelor Honors project supervision
Supervision, Utrecht University, 2024
Co-supervising a Computer Science bachelor’s honors project with Hanna Hauptmann. From October 2024 until June 2025, a group of three students built a controllable interface for music recommendation and listening.
Sound & Music Technology
Game and Media Technology master course, Utrecht University, 2024
Involved in the course in ‘23/’24 and ‘24/’25 (click for list of tasks)
Information Sciences Bachelor thesis supervision
Supervision, Utrecht University, 2025
- 2024-2025: 3 students
- 2023-2024: 2 students
- 2022-2023: 2 students
- 2021-2022: 1 student
Human Computer Interaction in Application Domains
Human Computer Interaction master course, Utrecht University, 2025
Involved in the course in ‘24/’25 (click for list of tasks)
Human Computer Interaction Master Thesis Supervision
Supervision, Utrecht University, 2025
- 2025-Present: TBA, Simon Menke
- 2024-2025: (De)Composing the Algorithm: Explaining Music Recommender Systems to Artists for Understanding, Transparency, and Empowerment, Zuzanna Michalewicz
- 2023-2024: Mitigating Popularity Bias in Music Recommender Systems: Effects on Fair Exposure, User Perception, and Motivation for Exploration, Robin Ungruh