计算机工程与应用 ›› 2008, Vol. 44 ›› Issue (35): 135-137.DOI: 10.3778/j.issn.1002-8331.2008.35.041

• 数据库、信号与信息处理 • 上一篇    下一篇

用户访问兴趣路径挖掘方法

褚红丹,焦素云,马 威   

  1. 长春工业大学 计算机科学与工程学院,长春 130012
  • 收稿日期:2008-06-10 修回日期:2008-09-03 出版日期:2008-12-11 发布日期:2008-12-11
  • 通讯作者: 褚红丹

Mining user traversal interest paths algorithm

CHU Hong-dan,JIAO Su-yun,MA Wei   

  1. Department of Computer Science and Engineering,Changchun University of Technology,Changchun 130012,China
  • Received:2008-06-10 Revised:2008-09-03 Online:2008-12-11 Published:2008-12-11
  • Contact: CHU Hong-dan

摘要: 针对当前挖掘用户访问模式算法仅将频繁访问路径作为用户浏览兴趣路径的问题,依据使用Web日志挖掘用户兴趣页面时,通过引入页面信息量参数,综合考虑页面访问次数、浏览时间和页面信息量大小来定义用户兴趣度,提出了基于兴趣度的用户访问模式挖掘算法。实验证明该算法是有效的,在用户浏览兴趣度量方面比当前的频繁访问路径挖掘算法更准确。

关键词: 用户浏览兴趣度, 用户访问模式, 数据挖掘, 序列模式挖掘

Abstract: The traditional algorithms simply regard frequent access paths as traversal interest paths,it’s not accurate.User’s interest page is mined through Web log by the navigation times,browsing time and information amount.The concept of user traversal interest and the algorithm for mining interesting navigation patterns is proposed.Experiments show the algorithm is feasible and effectual,and it is more accurate than other traditional algorithms of frequent access paths in measuring user traversal interests.

Key words: user traversal interest, user traversal pattern, data mining, sequential pattern mining