Case-based recommender systems

Derek Bridge; Mehmet H. Göker; Lörraine Mcginty; Barry Smyth

doi:10.1017/S0269888906000567

Case-based recommender systems

Derek Bridge
, Mehmet H. Göker
, Lörraine Mcginty
, Barry Smyth

PricewaterhouseCoopers
University College Dublin

Research output: Contribution to journal › Review article › peer-review

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.

Original language	English
Pages (from-to)	315-320
Number of pages	6
Journal	Knowledge Engineering Review
Volume	20
Issue number	3
DOIs	https://doi.org/10.1017/S0269888906000567
Publication status	Published - Sept 2005

UCC Futures

Artificial Intelligence and Data Analytics

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10.1017/S0269888906000567

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title = "Case-based recommender systems",

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.",

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AU - Bridge, Derek

AU - Göker, Mehmet H.

AU - Mcginty, Lörraine

AU - Smyth, Barry

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N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/33646572223

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DO - 10.1017/S0269888906000567

M3 - Review article

AN - SCOPUS:33646572223

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VL - 20

SP - 315

EP - 320

JO - Knowledge Engineering Review

JF - Knowledge Engineering Review

IS - 3

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Case-based recommender systems

Abstract

UCC Futures

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