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Erschienen in:
Personalized Movie Recommendation Kapitel lesen Erstes Kapitel lesen

2009 | OriginalPaper | Buchkapitel

16. Music Search and Recommendation

verfasst von : Karlheinz Brandenburg, Christian Dittmar, Matthias Gruhne, Jakob Abeßer, Hanna Lukashevich, Peter Dunker, Daniel Gärtner, Kay Wolter, Holger Grossmann

Erschienen in: Handbook of Multimedia for Digital Entertainment and Arts

Verlag: Springer US

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Abstract

In the last ten years, our ways to listen to music have drastically changed: In earlier times, we went to record stores or had to use low bit-rate audio coding to get some music and to store it on PCs. Nowadays, millions of songs are within reach via on-line distributors. Some music lovers already got terabytes of music on their hard disc. Users are now no longer desparate to get music, but to select, to find the music they love. A number of technologies has been developed to adress these new requirements. There are techniques to identify music and ways to search for music. Recommendation today is a hot topic as well as organizing music into playlists.

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Vorheriges Kapitel Pattern Discovery and Change Detection of Online Music Query Streams
Nächstes Kapitel Automated Music Video Generation Using Multi-level Feature-based Segmentation
Fußnoten
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Metadaten
Titel
Music Search and Recommendation
verfasst von
Karlheinz Brandenburg
Christian Dittmar
Matthias Gruhne
Jakob Abeßer
Hanna Lukashevich
Peter Dunker
Daniel Gärtner
Kay Wolter
Holger Grossmann
Copyright-Jahr
2009
Verlag
Springer US
Buch
Handbook of Multimedia for Digital Entertainment and Arts

Print ISBN: 978-0-387-89023-4

Electronic ISBN: 978-0-387-89024-1

Copyright-Jahr: 2009

DOI
https://doi.org/10.1007/978-0-387-89024-1_16

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