The Topology of Music Recommendation Networks

We study the topology of several music recommendation networks, which rise from relationships between artist, co-occurrence of songs in playlists or experts' recommendation. The analysis uncovers the emergence of complex network phenomena in this kind of recommendation networks, built consideri...

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Bibliographic Details
Published in:arXiv.org 2005-12
Main Authors: Cano, Pedro, Celma, Oscar, Koppenberger, Markus, Buldú, Javier M
Format: Article
Language:English
Subjects:
Artists
Design optimization
Music
Networks
Recommender systems
Topology
Online Access:Get full text
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Summary:We study the topology of several music recommendation networks, which rise from relationships between artist, co-occurrence of songs in playlists or experts' recommendation. The analysis uncovers the emergence of complex network phenomena in this kind of recommendation networks, built considering artists as nodes and their resemblance as links. We observe structural properties that provide some hints on navigation and possible optimizations on the design of music recommendation systems. Finally, the analysis derived from existing music knowledge sources provides a deeper understanding of the human music similarity perceptions.
ISSN:2331-8422
DOI:10.48550/arxiv.0512266