Case-based recommender systems

被引：123

作者：

Bridge, Derek ^{[1
]}

Goeker, Mehmet H.

McGinty, Lorraine

Smyth, Barry

机构：

[1] Natl Univ Ireland Univ Coll Cork, Dept Comp Sci, Cork, Ireland

[2] PricewaterhouseCooper LLP, Ctr Adv Res, San Jose, CA 95113 USA

[3] Natl Univ Ireland Univ Coll Dublin, Sch Comp & Informat Sci, Dublin 4, Ireland

来源：

KNOWLEDGE ENGINEERING REVIEW | 2005年 / 20卷 / 03期

关键词：

D O I：

10.1017/S0269888906000567

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：315 / 320

页数：6

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