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 …

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 …

This chapter focuses on the recommendation problem in the music domain. Section 3.1
presents some common use cases in music recommendation. After that, Sect. 3.2, discusses …

Social tagging is becoming increasingly popular in music information retrieval (MIR). It
allows users to tag music items like songs, albums, or artists. Social tags are valuable to …

In this paper we describe a novel approach to applying text-based information retrieval
techniques to music collections. We represent tracks with a joint vocabulary consisting of …

Any automatic music genre recognition (MGR) system must show its value in tests against a
ground truth dataset. Recently, the public dataset most often used for this purpose has been …

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 …

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

This paper presents some findings around musical genres. The main goal is to analyse
whether there is any agreement between a group of experts and a community, when …

In this paper we describe how to build a variety of information retrieval models for music
collections based on social tags. We discuss the particular nature of social tags for music …