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Context Awareness by Case-Based Reasoning in a Music Recommendation System

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Ubiquitous Computing Systems (UCS 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4836))

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Abstract

The recommendation system is one of the core technologies for implementing personalization services. Recommendation systems in ubiquitous computing environment should have the capability of context-awareness. In this research, we developed a music recommendation system, which we shall call C2_Music, which utilizes not only the user’s demographics and behavioral patterns but also the user’s context. For a specific user in a specific context, the C2_Music recommends the music that the similar users listened most in the similar context. In evaluating the performance of C2_Music using a real world data, it outperforms the comparative system that utilizes the user’s demogra-phics and behavioral patterns only.

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Author information

Authors and Affiliations

  1. Division of e-Business, School of Business Administration, Ajou University, San 5, Wonchun-Dong, Youngtong-Gu, Suwon 443-749, Korea

    Jae Sik Lee

  2. Ubiquitous Convergence Research Institute, San 5, Wonchun-Dong, Youngtong-Gu, Suwon 443-749, Korea

    Jin Chun Lee

Authors
  1. Jae Sik Lee
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  2. Jin Chun Lee
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Editor information

Haruhisa Ichikawa We-Duke Cho Ichiro Satoh Hee Yong Youn

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© 2007 Springer-Verlag Berlin Heidelberg

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Lee, J.S., Lee, J.C. (2007). Context Awareness by Case-Based Reasoning in a Music Recommendation System. In: Ichikawa, H., Cho, WD., Satoh, I., Youn, H.Y. (eds) Ubiquitous Computing Systems. UCS 2007. Lecture Notes in Computer Science, vol 4836. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76772-5_4

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  • DOI: https://doi.org/10.1007/978-3-540-76772-5_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76771-8

  • Online ISBN: 978-3-540-76772-5

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