Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (35): 142-144.DOI: 10.3778/j.issn.1002-8331.2010.35.041

• 数据库、信号与信息处理 • Previous Articles     Next Articles

New realtime clustering algorithm about Web user session

GUO Zhao-lin,ZHOU Jun   

  1. School of Electronics and Informatics Engineering,Liaoning University of Technology,Jinzhou,Liaoning 121001,China
  • Received:2009-04-10 Revised:2009-06-05 Online:2010-12-11 Published:2010-12-11
  • Contact: GUO Zhao-lin

一种新的Web用户会话实时聚类算法

郭兆麟,周 军   

  1. 辽宁工业大学 电子与信息工程学院,辽宁 锦州 121001
  • 通讯作者: 郭兆麟

Abstract: As the development of the internet,the number of the web data is becoming more large,and the interests of the web users are various.In order to satisfy the needs of the users whose interests are changeable,and realize personalized recommendation,this paper gives a new realtime clustering algorithm about web user session.The experiment results show that this algorithm can improve the clustering speed,and can satisfy the needs of the users.

Key words: Web data, personalized recommendation, user session, realtime clustering

摘要: 互联网技术的发展日新月异,Web数据是海量的,同时网络用户的浏览兴趣也是不断变换的。为了满足用户兴趣不断变换的需求,更好地实现个性化推荐,提出了一种新的Web用户会话实时聚类算法。算法分析验证了该算法可以提高聚类速度,能更好地满足用户的需求。

关键词: Web数据, 个性化推荐, 用户会话, 实时聚类

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