Abstract
We introduce a novel personalized web service system through mobile devices. By providing only users’ preferred web pages or smaller readable sections, service elements, the problem of the limitation of resource of mobile devices can be solved. In this paper, the preferred service elements are obtained from the statistical preference transactions among web pages for each web site. In computing the preference, we consider the ratio of the length of each web page and users’ staying time on it. Also, our system dynamically provides the personalized web service according to the different three cases such as the beginning stage, the positive feedback, and the negative feedback. In the experimental section, we demonstrate our personalized web service system and show how much the resource of mobile devices can be saved.
Keywords
- Mobile Device
- Bayesian Network
- Digital Library
- Service Region
- Collaborative Filter
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.
This research was supported by the Ministry of Information and Communication, Korea, under the College Information Technology Research Center Support Program, grant number IITA-2005-C1090-0502-0016.
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Kang, S., Park, W., Kim, YK. (2006). Dynamically Personalized Web Service System to Mobile Devices. In: Larsen, H.L., Pasi, G., Ortiz-Arroyo, D., Andreasen, T., Christiansen, H. (eds) Flexible Query Answering Systems. FQAS 2006. Lecture Notes in Computer Science(), vol 4027. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11766254_35
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DOI: https://doi.org/10.1007/11766254_35
Publisher Name: Springer, Berlin, Heidelberg
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