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 …

We provide a survey of the field of Music Information Retrieval (MIR), in particular paying
attention to latest developments, such as semantic auto-tagging and user-centric retrieval …

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 …

Music recommendation systems based on Collaborative Filtering methods have been
extensively developed over the last years. Typically, they work by analyzing the past user …

ABSTRACT We introduce the Music Listening Histories Dataset (MLHD), a large-scale
collection of music listening events assembled from more than 27 billion time-stamped logs …

The goal of this work is to formally provide a general definition of a multimedia
recommendation system (MMRS), in particular a content-based MMRS (CB-MMRS), and to …

It is not hyperbole to note that a revolution has occurred in the way that we as a society
distribute data and information. This revolution has come about through the confluence of …

Traditional automatic music recommendation systems' performance typically rely on the
accuracy of statistical models learned from past preferences of users on music items …

Nowadays, thanks to the popularization of music streaming services, we gained access to
millions of songs to listen to. One of the methods employed by these services to support …

An electronic device accesses a listening history of a user of a media-providing service, and
for each characteristic of a set of characteristics describing tracks provided by the media …