Music recommender systems (MRSs) have experienced a boom in recent years, thanks to
the emergence and success of online streaming services, which nowadays make available …

Most of the time when we listen to music on the radio or on our portable devices, the order in
which the tracks are played is governed by so-called playlists. These playlists are basically …

This chapter gives an introduction to music recommender systems research. We highlight
the distinctive characteristics of music, as compared to other kinds of media. We then …

This work advances the music emotion recognition state-of-the-art by proposing novel
emotionally-relevant audio features. We reviewed the existing audio features implemented …

Genius is a popular commercial music recommender system that is based on collaborative
filtering of huge amounts of user data. To understand the aspects of music similarity that …

MusicalHeart is a biofeedback-based, context-aware, automated music recommendation
system for smartphones. We introduce a new wearable sensing platform, Septimu, which …

Music recommender systems have become a key technology to support the interaction of
users with the increasingly larger music catalogs of on-line music streaming services, on …

User-generated item lists are popular on many platforms. Examples include video-based
playlists on YouTube, image-based lists (or" boards") on Pinterest, book-based lists on …

We present a new approach to recommend suitable tracks from a collection of songs to the
user. The goal of the system is to recommend songs that are favored by the user, are fresh to …

With its origins in Information Retrieval research, a fundamental goal of Music Information
Retrieval (MIR) as a dedicated research field in the year 2000 was to develop technology to …