The music domain is among the most important ones for adopting recommender systems
technology. In contrast to most other recommendation domains, which predominantly rely on …

Over the years we have seen recommender systems shifting focus from optimizing short-
term engagement toward improving long-term user experience on the platforms. While …

Sustainability development goals (SDGs) are regarded as a universal call to action with the
overall objectives of planet protection, ending of poverty, and ensuring peace and prosperity …

Framework for AI), the EC aims at introducing the first comprehensive legal framework on AI,
which will identify specific risks for AI, provide a collection of high-risk application domains …

This chapter gives an introduction to music recommender systems, considering the unique
characteristics of the music domain. We take a user-centric perspective, by organizing our …

Designing recommendation systems that serve content aligned with time varying
preferences requires proper accounting of the feedback effects of recommendations on …

Music listening sessions often consist of sequences including repeating tracks. Modeling
such relistening behavior with models of human memory has been proven effective in …

Previous studies on exploration have shown that users can be nudged to explore further
away from their current preferences. However, these effects were shown in a single session …

Recommender systems are efficient at predicting users' current preferences, but how users'
preferences develop over time is still under-explored. In this work, we study the development …

Providing suitable recommendations is of vital importance to improve the user satisfaction of
music recommender systems. Here, users often listen to the same track repeatedly and …