Abstract
Searching and finding items on the WWW is increasingly difficult for businesses and for consumers. Many navigation and keyword searches are inadequate for the modern consumer. What’s plaguing e-commerce is the lack of intelligent assistance. The e-Salesman System (eSS) [11], based on a knowledge-driven intelligent model, aims to simulate the human element of traditional shopping for online sales. This paper presents a tool for authoring and managing an intelligent system that will change the current approach to online browsing, searching, and shopping. The contribution of this solution is to allow merchants to customize and change their e-retail shops to interact with online users based on their dynamic changed models to meet their business rules and marketing needs.
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Ting, M.P., Gao, J. (2005). Web-Based Authoring Tool for e-Salesman System. In: Yang, L.T., Amamiya, M., Liu, Z., Guo, M., Rammig, F.J. (eds) Embedded and Ubiquitous Computing – EUC 2005. EUC 2005. Lecture Notes in Computer Science, vol 3824. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596356_54
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DOI: https://doi.org/10.1007/11596356_54
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30807-2
Online ISBN: 978-3-540-32295-5
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