Contextual collaborative filtering using tagging information

被引:0
|
作者
Nakamoto, Reyn [1 ]
Nakajima, Shinsuke [1 ]
Miyazaki, Jun [1 ]
Uemura, Shunsuke [1 ]
机构
[1] Nara Inst Sci & Technol, Grad Sch Informat Sci, Database Lab, 8916-5 Takayama, Nara 6300101, Japan
关键词
collaborative ltering; tagging; recommendation systems; information retrieval;
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
In this paper, we introduce a new Collaborative Filtering (CF) model which takes into consideration users' context based upon tagging information such as available from recently popular social tagging systems. In numerous implementations, traditional CF systems have been proven to work well under certain circumstances. However, CF systems still suffer a weakness: They do not take context into consideration. Yet recently, social tagging systems have become popular-these systems provide a well suited combination of context clues through tags as well as important social connectivity among users. Thus, we combine the features of these two systems to create a contextual CF model based upon tagging information.
引用
收藏
页码:964 / +
页数:2
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