Towards Personalizing Classical Music Recommendations

While fans of classical music were found to be underrepresented on social media and music streaming platforms, they constitute an important target group for music recommender systems. We therefore focus on this group of listeners and investigate a wide range of recommendation approaches and variants for the task of music artist recommendation. Within the group of classical music listeners, we further assess categorizing users according to demographics and temporal music consumption behavior. We report the results of preliminary recommendation experiments and insights gained for the listener group under consideration.