Hostname: page-component-586b7cd67f-vdxz6 Total loading time: 0 Render date: 2024-11-25T00:10:47.453Z Has data issue: false hasContentIssue false

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: [email protected]
MEHMET H. GÖKER
Affiliation:
PricewaterhouseCoopers LLP, Center for Advanced Research, Ten Almaden Blvd., Suite 1600, San Jose, CA 95113, USA; e-mail: [email protected]
LORRAINE McGINTY
Affiliation:
School of Computer Science and Informatics, University College Dublin, Belfield, Dublin 4, Ireland; e-mail: [email protected], [email protected]
BARRY SMYTH
Affiliation:
School of Computer Science and Informatics, University College Dublin, Belfield, Dublin 4, Ireland; e-mail: [email protected], [email protected]

Abstract

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.

Type
Research Article
Copyright
2006 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)