一种基于用户兴趣度模型的Web路径挖掘算法

A Web Preferred Path Mining Algorithm Based on User Preference Model

针对目前在挖掘用户访问行为方面存在的准确性不高的问题,本文提出了一种用户兴趣度模型。并基于这个模型设计了一个web访问路径挖掘算法,用来更准确地挖掘用户的访问模式,实现网站的个性化服务。

In order to solve the problem of the low accuracy in mining user navigation patterns, the user preference model is proposed. According to the model, we propose an algorithm for mining user access paths to mine user navigation patterns precisely and achieve the personalized service in the websites.