Abstract
Shopping in the Internet does not proceed smoothly as customers expect currently. In particular customers have many obstacles in finding an optimal combination of products and shopping malls to minimize the total purchasing cost. To solve such problems, this paper proposes a new framework of an intelligent shopping agent based on the Semantic Web and the Integer Programming technologies. Starting from the search of products, it will show how to build an intelligent agent by using concepts of the Semantic Web and how to connect information to formulating and solving an optimization problem to achieve a customer’s goal.
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© 2006 Springer-Verlag Berlin Heidelberg
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Kim, HJ., Kim, W., Kim, J. (2006). An Intelligent Shopping Agent for Optimal Purchasing Decision on the Semantic Web. In: Levi, A., Savaş, E., Yenigün, H., Balcısoy, S., Saygın, Y. (eds) Computer and Information Sciences – ISCIS 2006. ISCIS 2006. Lecture Notes in Computer Science, vol 4263. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11902140_22
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DOI: https://doi.org/10.1007/11902140_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-47242-1
Online ISBN: 978-3-540-47243-8
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