Abstract
Recent popularity of hand-held devices and pervasiveness of e-commerce have increased web accesses through mobile devices. However, due to the limited screen size, users have to scroll a lot to locate what they want. Even worse, network connections are usually too slow to support most of the data-intensive applications. Therefore, an efficient scheme for navigating web contents through these devices should be addressed in this arena. In this paper, we propose a web agent system, ASPerson that enables users to browse ordinary web pages efficiently even on the small screen mobile devices. It extracts any specific sections of interest from web pages and reorganizes them based on user preference for convenient browsing.
This research was supported by University IT Research Center Project.
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Kim, W., Hwang, E., Kim, W. (2004). ASPerson: Agent System for Personalizing Web Contents over Wireless Connection. In: Conejo, R., Urretavizcaya, M., Pérez-de-la-Cruz, JL. (eds) Current Topics in Artificial Intelligence. TTIA 2003. Lecture Notes in Computer Science(), vol 3040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25945-9_19
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DOI: https://doi.org/10.1007/978-3-540-25945-9_19
Publisher Name: Springer, Berlin, Heidelberg
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