Applying Recursive CBR for the Customization
of Structured Products in an Electronic Shop

Armin Stahl and Ralph Bergmann


Centre for Learning Systems and Applications (LSA), University of Kaiserslautern
PO-Box 3049, D-67653 Kaiserslautern, Germany
{stahl , bergmann}@informatik.uni-ki.de




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 
U-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 CI3R 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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