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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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
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