Abstract
When applying CBR for Electronic Commerce, the adaptation capabilities of CBR can be used for product customization. Most adaptation techniques suffer from the problem that they require a large knowledge acquisition effort which leads to problems in the rapidly changing E-Commerce scenario. In this paper we present a new approach to adaptation that is particularly suited to Electronic Commerce applications. It assumes that products can be structured hierarchically into sub-components. Adaptation is achieved by incrementally replacing unsuitable sub-components through recursively applying CBR to find best-matching alternative sub-components. The presented approach avoids huge portions of the knowledge acquisition effort and is prototypically implemented as an extension of the CBR-Works tool.
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Stahl, A., Bergmann, R. (2000). Applying Recursive CBR for the Customization of Structured Products in an Electronic Shop. In: Blanzieri, E., Portinale, L. (eds) Advances in Case-Based Reasoning. EWCBR 2000. Lecture Notes in Computer Science, vol 1898. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44527-7_26
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DOI: https://doi.org/10.1007/3-540-44527-7_26
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