Hybrid systems for personalized recommendations

被引：0
作者：
Burke, R [1 ]
机构：
[1] Depaul Univ, Sch Comp Sci Telecommun & Informat Syst, Chicago, IL 60604 USA
来源：
INTELLIGENT TECHNIQUES FOR WEB PERSONALIZATION | 2005年 / 3169卷
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D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A variety of techniques have been proposed and investigated for delivering personalized recommendations for electronic commerce and other web applications. To improve performance, these methods have sometimes been combined in hybrid recommenders. This chapter surveys the landscape of actual and possible hybrid recommenders, and summarizes experiments that compare a large set of hybrid recommendation designs.
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页码：133 / 152
页数：20
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