Music

4th Music Recommender Systems Workshop (MuRS 2026), co-located with RecSys 2026.

On Robin Ungruh’s first day in Salzburg, our team ran a study with children at a local school, introducing how recommender systems work and exploring how school kids react to music recommendations.

Recommender systems (RS) play a central role in everyday activities by generating personalized recommendations that support users’ …

Christine Bauer was interviewed by Science Notes about what ‘fairness’ really means in music recommender systems, how powerful algorithms quietly decide which artists get heard and which stay invisible on digital music platforms.

Valdy Wiratama’s paper is accepted for the UMAP 2026 Doctoral Consortium.

Valdy Wiratama co-authored a European Commission study on the discoverability of diverse European cultural content in the digital environment.

Commissioned by the European Commission under the EU Work Plan for Culture 2023–2026, this study examines how European cultural content …

A feature article in ‘Arbeit & Wirtschaft’ looks at how generative AI (GenAI) is changing the music landscape. Christine Bauer contributes a critical perspective grounded in her research at the intersection of AI, the music domain, and human-centered computing.

Together with Elena V. Epure, Andrés Ferraro, and Lorenzo Porcaro, Christine Bauer is serving as a Guest Editor for the Special Issue ‘Music Recommender Systems’ in the journal ACM Transactions on Recommender Systems.

3rd Music Recommender Systems Workshop (MuRS 2025), co-located with RecSys 2025.