Abstract
A major requirement of today’s online shops is the availability of competent virtual sales agents that guide the customers through the vast space of available products, services and other opportunities. This function is mostly implemented by search agents that should help customers to find relevant product information. While these search functions are considered quite important by the online sellers, the quality of the retrieval results is miserable [4]. The key to enhancing search quality and, more generally, to approaching the vision of intelligent, knowledgeable virtual sales agents, is to incorporate more knowledge about products, customers and the sales process into the sales agent. The quality of service becomes the dominating factor for achieving customer satisfaction and a good customer relationship. As a consequence customer relationship management [9] and knowledge management [10, 3] have been recognized as core disciplines with strategic importance for successful future business. In the context of companies which communicate with heir customers and partners via electronic online media, this requires one to make the company knowledge available and visible through the virtual agents that are supposed to be the primary access points to the company. This chapter describes a knowledge-based technology and related applications for developing intelligent virtual sales agents.
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References
Bergmann, R., S. Breen, M. Göker, M. Manago, and S. Wess (1999). Developing Industrial Case-Based Reasoning Applications: The INRECA Methodology. Lecture Notes in Artificial Intelligence 1612. Springer, Berlin, Heidelberg.
Bergmann, R., M. M. Richter, S. Schmitt, A. Stahl, and I. Vollrath (2001). Utility-oriented matching: a new research direction for case-based reasoning. In S. Schmitt, I. Vollrath, and U. Reimer (Eds.), 9th German Workshop on Case-Based Reasoning.
Davenport, T. and L. Prusak (1997). Working Knowledge: How Organizations Manage What They Know. Harvard Business School Press.
Hagen, P. R. (2000). Must search stink. The Forrester Report, June 2000.
Hayes, C. and P. Cunningham (2000). Smart radio: building music radio on the fly. In A. Macintosh, M. Moulton, and F. Coenen (Eds.), Proceedings of Expert Systems 2000, 20th SGES Conference on KBS and Applied AI, pp. 129-140. Springer Berlin, Heidelberg.
Hayes, C., P. Cunningham, and B. Smyth (2001). A case-based reasoning view of automatic collaborative filtering. In D. Aha and I. Watson (Eds.), Case-Based Reasoning Research and Development, Lecture Notes in Artificial Intelligence 2080. Springer, Berlin, Heidelberg.
Kolodner, J.L. (1993). Case-Based Reasoning. Morgan Kaufmann, San Mateo.
Lenz, M. and H.-D. Burkhard (1996). Case Retrieval Nets: Foundations, Properties, Implementation, and Results. Technical report, Humboldt University, Berlin.
Newell, F. (1999). Loyalty.Com: Customer Relationship Management in the New Era of Internet Marketing. McGraw-Hill Professional Publishing.
Nonaka, I., H.Takeuchi, and H.Takeuchi (1995). Knowledge-Creating Company -How Japanese Companies Create the Dynamics of Innovation. Oxford University Press, Oxford.
Schmitt, S. and R. Bergmann (1999). Applying case-based reasoning technology for product selection and customization in electronic commerce environments. In 12th Bled Electronic Commerce Conference.
Schumacher, J. and R. Bergmann (2000). An effective approach for similarity-based retrieval on top of relational databases. In E. Blanzieri, and L. Portinale (Eds.), Advances in Case-Based Reasoning (EWCBR’2000), Lecture Notes in Artificial Intelligence 1898. Springer, Berlin, Heidelberg.
Smyth, B. and P. Cotter (1999). Surfing the digital wave, generating personalized TV listings using collaborative, case-based recommendation. In K.-D. Althoff, R. Bergmann, and L.-K. Branting (Eds.), Case-Based Reasoning Research and Development, Proceedings of the Third International Conference on Case-Based Reasoning (ICCBR’99), Lecture Notes in Artifical Intelligence, 1266. Springer, Berlin, Heidelberg.
Smyth, B. and P. Cotter (2000) A personalized television listings service. Communications of the ACM 43(8), 107-111.
Stahl, A. and R. Bergmann (2000). Applying recursive CBR for the customization of structured products In an electronic shop In E. Blanzieri and L. Portinale (Eds.), Advances in Case-Based Reasoning (EWCBR’2000), Lecture Notes in Artificial Intelligence 1898. Springer, Berlin, Heidelberg.
Vollrath, I., W. Wilke, and R. Bergmann (1998). Case-based reasoning support for online catalog sales. IEEE Internet Computing 2(4), 47-54.
Wilke, W. (1999). Knowledge Management for Intelligent Sales Support in Electronic Commerce, DISKI 213. Infix Verlag, Sankt Augustin.
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Bergmann, R., Traphöner, R., Schmitt, S., Cunningham, P., Smyth, B. (2003). Knowledge-Intensive Product Search and Customization in Electronic Commerce. In: E-Business Applications. Advanced Information Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55792-7_7
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DOI: https://doi.org/10.1007/978-3-642-55792-7_7
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