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 …

Acoustic-based music recommender systems have received increasing interest in recent
years. Due to the semantic gap between low level acoustic features and high level music …

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 …

In this survey article, we give an overview of methods for music similarity estimation and
music recommendation based on music context data. Unlike approaches that rely on music …

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 …

There are various kinds of social media information, including different types of objects and
relations among these objects, in music social communities such as Last. fm and Pandora …

We propose a simple, scalable, and objective evaluation procedure for playlist generation
algorithms. Drawing on standard techniques for statistical natural language processing, we …

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 …

Music recommendation is receiving increasing attention as the music industry develops
venues to deliver music over the Internet. The goal of music recommendation is to present …