Case-based reasoning support for online catalog sales

Case-based reasoning uses similarity measures and domain-specific knowledge for information retrieval and problem solving. The paper considers how CBR techniques can be applied to e-commerce applications to enable intelligent sales support. It reviews the limitations of ordinary databases to this task and then examines CBR techniques that can improve the usefulness of electronic catalogs. It describes an implementation of a CBR-based system in a specific application domain, and concludes with brief descriptions of two projects at the University of Kaiserslautern that advance these systems.