Case-based recommender systems

  • Authors:
  • Derek Bridge;Mehmet H. Gö/ker;Lorraine McGinty;Barry Smyth

  • Affiliations:
  • Department of Computer Science, University College Cork, Ireland/ e-mail: d.bridge&commat/cs.ucc.ie;PricewaterhouseCoopers LLP, Center for Advanced Research, Ten Almaden Blvd., Suite 1600, San Jose, CA 95113, USA/ e-mail: mehmet.goker&commat/us.pwc.com;School of Computer Science and Informatics, University College Dublin, Belfield, Dublin 4, Ireland/ e-mail: lorraine.mcginty&commat/ucd.ie, barry.smyth&commat/ucd.ie;School of Computer Science and Informatics, University College Dublin, Belfield, Dublin 4, Ireland/ e-mail: lorraine.mcginty&commat/ucd.ie, barry.smyth&commat/ucd.ie

  • Venue:
  • The Knowledge Engineering Review
  • Year:
  • 2005

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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.