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CASPER: Mining Personalized Services

  • Conference paper
Ubiquitous Intelligence and Computing (UIC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6406))

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Abstract

Context-aware computing has brought a new style of human computer interaction. Computing is moved into the background of the user’s environment. Devices collaborate to exhibit smart behaviors for the user. Despite much progress in research on context-aware services, few studies have addressed the issue of creating new context-aware services catered to a person. This paper presents CASPER, a novel method of constructing personal context-aware services. CASPER observes the behavior of the user in the service domain and identifies the patterns that can be mapped to useful context-aware services for him/her. We discuss the CASPER model and an experiment that we conducted as a proof of concept. The result of the experiment shows that CASPER is able to discover personal context-aware services from the living data of the user.

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Author information

Authors and Affiliations

  1. Hanggongdae gil 100, Hwajeon-dong, Deogyang-gu, Goyang-city, Gyeonggi-do, 412-791, South Korea

    Jeongkyu Park & Keung Hae Lee

Authors
  1. Jeongkyu Park
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  2. Keung Hae Lee
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Editor information

Editors and Affiliations

  1. School of Computer Science, Northwestern Polytechnical University, 710072, Xi’an, China

    Zhiwen Yu  & Xingshe Zhou  & 

  2. Institute ofTechnology, Faculty of Engineering and Applied Science, University of Ontario, L1H 7K4, Oshawa, ON, Canada

    Ramiro Liscano

  3. Department of Computer Science, University of Massachusetts Lowell, 01854, Lowell, MA, USA

    Guanling Chen

  4. Telecommunication Network and Services Department, Institute TELECOM SudParis, 9 rue Charles Fourier, 91011, Evry Cedex, France

    Daqing Zhang

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© 2010 Springer-Verlag Berlin Heidelberg

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Park, J., Lee, K.H. (2010). CASPER: Mining Personalized Services. In: Yu, Z., Liscano, R., Chen, G., Zhang, D., Zhou, X. (eds) Ubiquitous Intelligence and Computing. UIC 2010. Lecture Notes in Computer Science, vol 6406. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16355-5_28

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  • DOI: https://doi.org/10.1007/978-3-642-16355-5_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16354-8

  • Online ISBN: 978-3-642-16355-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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