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Case-based recommender systems

Published online by Cambridge University Press:  08 May 2006

DEREK BRIDGE
Affiliation:
Department of Computer Science, University College Cork, Ireland; e-mail: d.bridge@cs.ucc.ie
MEHMET H. GÖKER
Affiliation:
PricewaterhouseCoopers LLP, Center for Advanced Research, Ten Almaden Blvd., Suite 1600, San Jose, CA 95113, USA; e-mail: mehmet.goker@us.pwc.com
LORRAINE McGINTY
Affiliation:
School of Computer Science and Informatics, University College Dublin, Belfield, Dublin 4, Ireland; e-mail: lorraine.mcginty@ucd.ie, barry.smyth@ucd.ie
BARRY SMYTH
Affiliation:
School of Computer Science and Informatics, University College Dublin, Belfield, Dublin 4, Ireland; e-mail: lorraine.mcginty@ucd.ie, barry.smyth@ucd.ie
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Abstract

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We describe recommender systems and especially case-based recommender systems. We define a framework in which these systems can be understood. The framework contrasts collaborative with case-based, reactive with proactive, single-shot with conversational, and asking with proposing. Within this framework, we review a selection of papers from the case-based recommender systems literature, covering the development of these systems over the last ten years.

Information

Type
Research Article
Copyright
2006 Cambridge University Press