An approach to analyzing correlation between songs/artists using iTMS playlists

Yufeng Dou, Eisuke Ito, Sachio Hirokawa, Daisuke Ikeda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Digital audio devices have been changing music entertainment environment. Those devices are bundled with music jukebox software, such as Apple's iTunes, Sony's CONNECT player. Jukebox software not only enables us to recode, play, search, purchase music on PC, but also to manage playlist. Anybody can make his/her own playlists, and play music according to the list. In this paper, we focus on iTMS (iTunse Music Stroe) playlists and use them as the data minig resources for a music recommendation system, then developing correlation measuring methods. We have retrieved about 13,000 playlists, and analyzed the frequency of artists/songs, co-occurrence of artists/songs in the playlists. Through the result data, we found out that all graphs we drew are follow the Zipf's law. Furthermore, we have analyzed the hierarchical relation between songs according to their popularity. We proposed a basic idea of popularity measuring method.

Original languageEnglish
Title of host publicationProceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet
Pages951-956
Number of pages6
Publication statusPublished - Dec 1 2005
EventInternational Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, IAWTIC 2005 - Vienna, Austria
Duration: Nov 28 2005Nov 30 2005

Publication series

NameProceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet
Volume1

Other

OtherInternational Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, IAWTIC 2005
CountryAustria
CityVienna
Period11/28/0511/30/05

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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  • Cite this

    Dou, Y., Ito, E., Hirokawa, S., & Ikeda, D. (2005). An approach to analyzing correlation between songs/artists using iTMS playlists. In Proceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet (pp. 951-956). [1631386] (Proceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet; Vol. 1).