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 …

Originating from Facebook, LinkedIn, Twitter, Instagram, YouTube, and many other
networking sites, the social media shared by users and the associated metadata are …

Digital methods are increasingly applied to store, structure and analyse vast amounts of
musical data. In this context, visualization plays a crucial role, as it assists musicologists and …

A large amount of research in recommender systems focuses on algorithmic accuracy and
optimization of ranking metrics. However, recent work has unveiled the importance of other …

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 …

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 …

An approach is presented to automatically build a search engine for large-scale music
collections that can be queried through natural language. While existing approaches …

Recommender systems aim at supporting users in their search and decision making process
by selecting a small number of likely relevant items from a large set of options. Although …

In many areas multimedia technology has made its way into mainstream. In the case of
digital audio this is manifested in numerous online music stores having turned into profitable …