Recommender Systems

2nd Workshop on Beyond Algorithms: A Workshop on the Interdisciplinarity of Recommender Systems (BEYOND 2026), co-located with RecSys 2026.

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.

Three papers involving our research group were presented at UMAP 2026 in Gothenburg, Sweden.

Recommendation algorithms support decision-making, yet their reasoning is often opaque. Explanations can improve user understanding, …

Diversity is a widely studied beyond-accuracy aspect of recommender systems, particularly in the news domain. Extensive research has …

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

Valdy Wiratama presented his PhD research at the UMAP 2026 Doctoral Consortium in Gothenburg, Sweden.

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.