Music Recommendation Systems: A Survey

Abstract

This introductory chapter presents an overview of music recommendation systems, supported by a comprehensive list of references. We pay special attention to user-centric systems which personalize their output by tracking the context of the user, including the user’s emotions and personality. Besides, we emphasize the importance of social media, the usability of user interfaces and the application of deep learning techniques in the recent developments in music recommendation systems. We also outline inspirations for the future research in the field.