CinemaScreen recommender agent: Combining collaborative and content-based filtering

被引：166
|
作者：
Salter, J [1 ]
Antonopoulos, N [1 ]
机构：
[1] Univ Surrey, Dept Comp, Guildford GU2 5XH, Surrey, England
来源：
IEEE INTELLIGENT SYSTEMS | 2006年 / 21卷 / 01期
关键词：
D O I：
10.1109/MIS.2006.4
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Directing users to relevant content is increasingly important in today's society with its ever-growing information mass. The recommender systems have become a significant component of e-commerce systems and an interesting application domain for intelligent agent technology. In collaborative filtering, a recommender agent matches a user to other users who have expressed similar preference in the past. A film recommender agent expands and fine-tunes collaborative-filtering results according to filtered content elements.
引用
收藏
页码：35 / 41
页数：7
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