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Music Recommendation System

The paper focuses on optimization vector content feature for the music recommendation system. For the purpose of experiments a database is created consisting of excerpts of music files. They are assigned to 22 classes corresponding to different music genres. Various feature vectors based on low-lev...

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Autori principali: Bożena Kostek, Andrzej Kaczmarek, Paweł Spaleniak, Piotr Hoffmann
Natura: Artigo
Lingua:Inglês
Pubblicazione: National Institute of Telecommunications 2014-06-01
Serie:Journal of Telecommunications and Information Technology
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Accesso online:https://jtit.pl/jtit/article/view/1024
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