基于兴趣点的会话相似性测量研究  

Measuring the Similarity of Sessions Based on Interest Point

作　　者：杨明花[1] 古志民[1] 

机构地区：[1]北京理工大学计算机科学技术学院,北京100081

出　　处：《北京理工大学学报》2006年第4期330-333,共4页Transactions of Beijing Institute of Technology

基　　金：北京理工大学基础研究基金资助项目(0301F18)

摘　　要：为提高用户会话聚类的准确性,充分利用页面路径的相似性,提出了基于兴趣点的会话相似性测量方法IPB(interest-point based).该方法充分利用页面路径包含的网站层次结构所体现的分类信息,将同一目录中的页面定义为一个兴趣点.在计算会话相似性时,首先获取用户会话中的兴趣点,根据页面路径的相似性计算兴趣点的相似性,然后根据兴趣点求出会话之间的相似度.实验结果表明,该方法能够更准确地计算Web会话的相似性.To improve the accuracy of clustering in Web sessions, by fully utilizing the URL path similarity, a new method of measuring similarity of sessions is proposed, viz. IPB（interest-point based）. The method defines all the pages in the same content of page hierarchy as an interest point, and extracts interest points in a session. Based on the similarity of URLs path, the similarity of interest point is computed, and the similarity of sessions based on their interest points calculated. Experimental results, compared with the previous methods, show that the proposed method is more accurate in measuring similarity of sessions.

关 键 词：WEB挖掘 会话聚类 兴趣点 会话相似性 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]