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European Conference on Smart Sensing and Context

EuroSSC 2006: Smart Sensing and Context pp 190–203Cite as

Music for My Mood: A Music Recommendation System Based on Context Reasoning

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Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 4272))

Abstract

The context-awareness has become one of the core technologies and the indispensable function for application services in ubiquitous computing environment. The task of using context data for inferring a user’s situation is referred to as context reasoning. In this research, we incorporated the capability of context reasoning in a music recommendation system. Our proposed system contains such modules as Intention Module, Mood Module and Recommendation Module. The Intention Module performs context reasoning that infers whether a user wants to listen to music or not by using the environmental context data. The Mood Module determines the genre of the music suitable to the user’s context. Finally, the Recommendation Module recommends the music to the user. Context reasoning is implemented using case-based reasoning.

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Author information

Authors and Affiliations

  1. Dept. of Management Information Systems,  

    Jae Sik Lee

  2. Dept. of Business Administration, Graduate School, Ajou University, 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

Editors and Affiliations

  1. Department of Computer Science, University of Twente, P.O. Box 217, 7500, Enschede, AE, The Netherlands

    Paul Havinga

  2. University of Twente, Faculty of Computer Science, Computer Architecture Design and Test for Embedded Systems group, P.O. Box 217, 7500, Enschede, AE, The Netherlands

    Maria Lijding  & Nirvana Meratnia  & 

  3. CTIT, University of Twente, The Netherlands

    Maarten Wegdam

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© 2006 Springer-Verlag Berlin Heidelberg

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Lee, J.S., Lee, J.C. (2006). Music for My Mood: A Music Recommendation System Based on Context Reasoning. In: Havinga, P., Lijding, M., Meratnia, N., Wegdam, M. (eds) Smart Sensing and Context. EuroSSC 2006. Lecture Notes in Computer Science, vol 4272. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11907503_14

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  • DOI: https://doi.org/10.1007/11907503_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-47842-3

  • Online ISBN: 978-3-540-47845-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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