Music information retrieval (MIR) is an emerging research area that receives growing
attention from both the research community and music industry. It addresses the problem of …

Digital music has become prolific in the web in recent decades. Automated recommendation
systems are essential for users to discover music they love and for artists to reach …

Computers have been used to analyze and create music since they were first introduced in
the 1950s and 1960s. Beginning in the late 1990s, the rise of the Internet and large scale …

The rise of the Internet has led the music industry to a transition from physical media to
online products and services. As a consequence, current online music collections store …

Prevalent efforts have been put in automatically inferring genres of musical items. Yet, the
propose solutions often rely on simplifications and fail to address the diversity and …

To automatically annotate songs with descriptive keywords, a variety of content-based auto-
tagging strategies have been proposed in recent years. Different approaches may capture …

Music is a very interesting topic in our society as almost everyone enjoys listening to it and
many wants to create. Broadly speaking, the research in Music Information Retrieval (MIR) is …

The usage of peer-to-peer (p2p) networks for music information retrieval (MIR) tasks is
gaining momentum. P2P file sharing networks can be used for collecting both search …

In order to better understand the contributions of this book it is important to put them in
context. Given the breadth and complexity of research work at the intersection of AI research …

We present an Internet radio player called Meerkat to explore the use of semantic tags as a
mechanism for controlling a personalized stream of music. We argue that this increases the …