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CaBaTa: Case-Based Reasoning for Holiday Planning

  • Mario Lenz

Abstract

Case-based reasoning has caught growing attention during the last few years. However, it is widely accepted today that pure CBR does not lead to satisfactory results. This paper deals with a mixed paradigm approach which has been applied to the domain of holiday selection in a travel agency. An architecture is presented which allows both usage of experience — stored as cases — and integration of rules guiding the search.

Keywords

Travel Agency Technical Diagnosis Case Database Context Graph Holiday Trip 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag/Wien 1994

Authors and Affiliations

  • Mario Lenz
    • 1
  1. 1.Department of Computer ScienceHumboldt-University BerlinBerlinGermany

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