A Web Prediction Pattern Recommendation Algorithm

被引：0
|
作者：
Lin Jianhui [1 ]
Zhao Bingjie [2 ]
机构：
[1] Hubei Univ Police, Dept Informat Technol, Wuhan, Peoples R China
[2] Shanghai Maritime Univ, Logist Engn Inst, Shanghai, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON NETWORKING AND DIGITAL SOCIETY, VOL 2, PROCEEDINGS | 2009年
关键词：
Cache recommender system; clustering; sequence mining;
D O I：
10.1109/ICNDS.2009.145
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Recommender system can predict and recommend end users their probably most interesting commodities after abstracting their interest and preference through their browsing information. In this paper, we accordingly abstract user preference to predict the users' coming access webpage to prefetch them. Through an optimized clustering and sequence mining algorithm, a recommender system is realized to predict user preference webpage. Experiments prove the precision and applicability of system.
引用
收藏
页码：263 / +
页数：2
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