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Intelligent Music Recommendation System Based on Cloud Computing

  • Conference paper
Multimedia, Computer Graphics and Broadcasting (MulGraB 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 263))

  • 1592 Accesses

Abstract

In this paper, intelligent music recommend system is proposed based on clouding computer. User- selected music is classified to similar tendency by algorithm of music genre classification, after total of 12 musical feature extraction on cloud. This system classified using Thayer’s model of mood and music was classified again suitable for current weather conditions. So, we suggested to music recommend system based on cloud computing system recommend for user and verified through simulation. The results of performance evaluation show that the proposed system can efficiently support weather condition and season information.

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References

  1. Platt, J.C., Burges, C., Swenson, S., Weare, C., Zheng, A.: Learning a Gaussian Process Prior for Automatically Generating Music Playlist. In: Proc. NIPS, vol. 14, pp. 1425–1423 (2002)

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Author information

Authors and Affiliations

  1. Department of Medical IT and Marketing, Eulji University, 553, Sanseong-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, 461-713, Korea

    Ki-Young Lee, Tae-Min Kwun, Myung-Jae Lim, Kyu-Ho Kim & Il-Hee Seo

  2. Department of Biomedical Engineering, Eulji University, Korea

    Jeong-Lae Kim

Authors
  1. Ki-Young Lee
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  2. Tae-Min Kwun
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  3. Myung-Jae Lim
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  4. Kyu-Ho Kim
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  5. Jeong-Lae Kim
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  6. Il-Hee Seo
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Editor information

Editors and Affiliations

  1. Multimedia Engineering Department, Hannam University, 133 Ojeong-dong, Daeduk-gu, Daejeon, Korea

    Tai-hoon Kim

  2. The Ohio State University, 470 Hitchcock Hall, 2070 Neil Avenue, 43210-1275, Columbus, OH, USA

    Hojjat Adeli

  3. Department of Computer and Information Science, University of Michigan – Dearborn, 4901 Evergreen Road, 48128, Dearborn, MI, USA

    William I. Grosky

  4. Florida International University, EC 2910, 10555 W. Flagler Street, 33174, Miami, FL, USA

    Niki Pissinou

  5. National Taipei University of Education, No.134, Sec. 2, Heping E. Rd., Da-an District, 106, Taipei City, Taiwan (R.O.C.)

    Timothy K. Shih

  6. Michigan State University, 48824-1226, East Lansing, MI, USA

    Edward J. Rothwell

  7. School of Computing and Information Systems, University of Tasmania, Hobart, TAS, Australia

    Byeong-Ho Kang

  8. Dept of IT, Hansei University, 604-5, Dangjung-Dong, Gunpo-Si, Gyunggi-Do, Korea

    Seung-Jung Shin

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© 2011 Springer-Verlag Berlin Heidelberg

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Cite this paper

Lee, KY., Kwun, TM., Lim, MJ., Kim, KH., Kim, JL., Seo, IH. (2011). Intelligent Music Recommendation System Based on Cloud Computing. In: Kim, Th., et al. Multimedia, Computer Graphics and Broadcasting. MulGraB 2011. Communications in Computer and Information Science, vol 263. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27186-1_21

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  • DOI: https://doi.org/10.1007/978-3-642-27186-1_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27185-4

  • Online ISBN: 978-3-642-27186-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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