模糊环境下的Web用户浏览模式的挖掘  

Mining Web User Browsing Patterns in Fuzzy Environment

作　　者：吴瑞[1] 

机构地区：[1]山西师范大学数学与计算机学院,临汾041004

出　　处：《模式识别与人工智能》2007年第6期838-842,共5页Pattern Recognition and Artificial Intelligence

基　　金：山西省自然科学基金(No.2006011039)

摘　　要：提出加权支持度和加权偏爱度用来准确反映用户的访问兴趣.其中,专家给定网页的语言评估被刻画成相应的模糊语言变量,使用模糊模拟的方法把这些模糊语言变量转化成表示网页重要性的权重.为了避免用户重要浏览信息的丢失,建立包含所有用户浏览信息的频繁链表加存权树(FLAAT),并从中挖掘用户偏爱的浏览模式.此外网页上的浏览时间也是反映用户兴趣和偏爱的一个重要因素,它被表示成相应的模糊语言变量,因而所获得的带有模糊浏览时间的用户偏爱浏览路径更能反映用户的兴趣和偏爱.In this paper, the concepts of weighted support and preference are proposed to reflect user interests accurately. Linguistic evaluations on a web page given by experts are characterized as fuzzy linguistic variables. These fuzzy linguistic variables can be transformed as an importance weight of a web page by fuzzy simulation. To avoid loss of important user browsing information, FLAAT （frequent link and access tree） is built to save all user browsing information. Then user preferred browsing patterns can be mined from the FLAAT. In addition, time duration on web page is another important factor reflecting user interests and preference, which is also denoted by a corresponding fuzzy linguistic variable. Experimental results show the gained user preferred patterns with fuzzy time duration reflect user interests and preference more accurately.

关 键 词：WEB挖掘 用户浏览模式 模糊语言变量 模糊模拟 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]