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A Sales Agent for Website Personalization

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2112))

Abstract

In this paper we present the design and prototype implementation of a real-time, adaptive, ontology-based sales agent and recommendation engine. It supports the personalization of Internet services by taking into account product knowledge, sales expertise and customer preferences. Using a hybrid of ontology engineering and machine learning techniques, the sales agent resolves the start-up and knowledge management problems inherent in other web personalization technologies. It provides for the dynamic adaptation of customer profiles based on behavioral data and domain knowledge models. This approach is domain-independent and applicable to a wide-variety of web commerce and services sites.

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© 2001 Springer-Verlag Berlin Heidelberg

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Chen, W., Shaw, R., Mortenson, L., Foley, T., Mizoguchi, R. (2001). A Sales Agent for Website Personalization. In: Kowalczyk, R., Loke, S.W., Reed, N.E., Williams, G.J. (eds) Advances in Artificial Intelligence. PRICAI 2000 Workshop Reader. PRICAI 2000. Lecture Notes in Computer Science(), vol 2112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45408-X_4

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  • DOI: https://doi.org/10.1007/3-540-45408-X_4

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42597-7

  • Online ISBN: 978-3-540-45408-3

  • eBook Packages: Springer Book Archive

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