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A Context-Aware Music Recommendation Agent in Smart Office

  • Donghai Guan
  • Qing Li
  • Sungyoung Lee
  • Youngkoo Lee
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4223)

Abstract

In this paper, we originally propose a music recommendation agent in a smart office to recommend music for users. Personal tastes are diverse, even the same person may have different preferences in different situations. Hence, our music recommendation is not only based on the user favorite genres but also the current mood of users. By collecting and analyzing the contextual information of users, the agent can automatically senses the mood of users and recommends music.

Keywords

User Preference Ubiquitous Computing Music Genre Personal Taste Music Recommendation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Donghai Guan
    • 1
  • Qing Li
    • 1
  • Sungyoung Lee
    • 1
  • Youngkoo Lee
    • 1
  1. 1.Department of Computer EngineeringKyung Hee UniversityKorea

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