Recommendation systems are information filtering tools that present items to users based on
their preferences and behavior, for example, suggestions about scientific papers or music a …

This book provides a summary of the manifold audio-and web-based approaches to music
information retrieval (MIR) research. In contrast to other books dealing solely with music …

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 …

Music consumption is biased towards a few popular artists. For instance, in 2007 only 1% of
all digital tracks accounted for 80% of all sales. Similarly, 1,000 albums accounted for 50 …

Since a few years, classification in music research is a very broad and quickly growing field.
Most important for adequate classification is the knowledge of adequate observable or …

Recommendation systems leverage several types of information relating to a
recommendable item. The recommendation methods are often based on the analysis of how …

We offer an efficient approach based on difference of convex functions (DC) optimization for
self-organizing maps (SOM). We consider SOM as an optimization problem with a …

In this chapter we propose a content-based exploration and visualization system for
ethnomusicological archives that allows for data access by rhythm similarity. The system …

Providing means to assist the user in finding music is one of the original motivations
underlying the research field known as Music Information Retrieval (MIR). Therefore, already …

In the digital music landscape, the accuracy and response speed of music recommendation
systems (MRS) are crucial for user experience optimization. Traditional MRS often relies on …