CBR for CBR: A Case-Based Template Recommender System for Building Case-Based Systems

Authors:
Juan A. Recio-García;Derek Bridge;Belén Díaz-Agudo;Pedro A. González-Calero
Affiliations:
Department of Software Engineering and Artificial Intelligence, Universidad Complutense de Madrid, Spain;Department of of Computer Science, University College Cork, Ireland;Department of Software Engineering and Artificial Intelligence, Universidad Complutense de Madrid, Spain;Department of Software Engineering and Artificial Intelligence, Universidad Complutense de Madrid, Spain
Venue:
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Year:
2008

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Abstract

Our goal is to support system developers in rapid prototyping of Case-Based Reasoning (CBR) systems through component reuse. In this paper, we propose the idea of templatesthat can be readily adapted when building a CBR system. We define a case base of templates for case-based recommender systems. We devise a novel case-based template recommender, based on recommender systems research, but using a new idea that we call Retrieval-by-Trying. Our experiments with the system show that similarity based on semantic features is more effective than similarity based on behavioural features, which is in turn more effective than similarity based on structural features.