Topology of music recommendation networks | Zendy

Pedro Cano | Zendy; Òscar Celma | Zendy; Markus Koppenberger | Zendy; Javier M. Buldú | Zendy

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Topology of music recommendation networks

Author(s) -

Pedro Cano,

Òscar Celma,

Markus Koppenberger,

Javier M. Buldú

Publication year - 2006

Publication title -

chaos an interdisciplinary journal of nonlinear science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.971

H-Index - 113

eISSN - 1089-7682

pISSN - 1054-1500

DOI - 10.1063/1.2137622

Subject(s) - computer science , recommender system , similarity (geometry) , perception , topology (electrical circuits) , complex network , network topology , information retrieval , world wide web , artificial intelligence , mathematics , computer network , psychology , combinatorics , neuroscience , image (mathematics)

We study the topology of several music recommendation networks, which risefrom relationships between artist, co-occurrence of songs in playlists orexperts' recommendation. The analysis uncovers the emergence of complex networkphenomena in this kind of recommendation networks, built considering artists asnodes and their resemblance as links. We observe structural properties thatprovide some hints on navigation and possible optimizations on the design ofmusic recommendation systems. Finally, the analysis derived from existing musicknowledge sources provides a deeper understanding of the human music similarityperceptions.Comment: 15 pages, 3 figure

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