基于网页模糊分类的用户兴趣度分析方法

Method for Web User Interesting Analysis Based on Pages Fuzzy Classification

了解用户的兴趣是电子商务网站实现个性化的基础,该文提出了一种分析用户兴趣度的新方法,该方法首先根据网站主索引页上的超链接将网站上的网页模糊分类,并通过对Web日志的统计,得出各交叉页的模糊度,然后综合考虑用户浏览网页的时间长度、点击网页的次数,利用模糊综合评判得出用户对于各网页分类的兴趣度,再与各网页分类的平均兴趣度水平作对比,从而发现用户的兴趣所在,实验表明该方法是有效的。

It is a critical task for a web site to find out what user's interest is.In this paper a new method is proposed to analyse user's interest,firstly the method gives all the pages fuzzy classification according to the links on the main index page of the site,and calculates fuzzy degree of cross page through aggregate on web log,secondly it gives a comprehensive analysis for users' interest degree to web classifications according to duration of page access and frequency of hits,finally it compares one user's interest with average rate of interest and finds out who has high interest.The experimental results show the effectiveness of the method.