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 …

Music genre labels are useful to organize songs, albums, and artists into broader groups
that share similar musical characteristics. In this work, an approach to learn and combine …

We argue that an evaluation of system behavior at the level of the music is required to
usefully address the fundamental problems of music genre recognition (MGR), and indeed …

Much work is focused upon music genre recognition (MGR) from audio recordings, symbolic
data, and other modalities. While reviews have been written of some of this work before, no …

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 …

With the rapid expansion of digital music formats, it's indispensable to recommend users
with their favorite music. For music recommendation, users' personality and emotion greatly …

Music is present in everyday life and used for a wide range of objectives. Musical databases
have considerably increased in number and size over the past years, therefore, the …

La classification automatique de la musique est un vaste domaine de recherche,
multidisciplinaire par nature, et qui donne lieu à des avancées significatives tant du point de …

Music classification is a challenging problem with many applications in today's large-scale
datasets with Gigabytes of music files and associated metadata and online streaming …

This research proposes a framework for music mood classification that uses multiple and
complementary information sources, namely, music audio, lyric text, and social tags …