Recommender Systems

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.

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 …

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.

Artificial Intelligence (AI) is widely used in recruitment with Job Recommender Systems (JRS) being designed for job matching. However, …

Workshop on Beyond Algorithms: Reclaiming the Interdisciplinary Roots of Recommender Systems (BEYOND 2025), co-located with RecSys 2025.

This workshop challenges the machine learning-centric focus of modern recommender systems research by reconnecting the field with its …