一个基于Rough集的用户兴趣访问模式的发现算法  

A ROUGH-SETS BASED RECOGNITION ALGORITHM OF USER'S VISITING PATTERNS

作　　者：曾海泉[1] 宋扬[1] 刘永丹[1] 胡运发[1] 

机构地区：[1]复旦大学计算机信息与技术系数据库中心,上海200433

出　　处：《计算机研究与发展》2002年第12期1598-1603,共6页Journal of Computer Research and Development

摘　　要：个性化网站是当今商务网站智能化的一个发展方向 ,其特点就是迎合每个用户的浏览兴趣并且不断调整自己来适应用户浏览兴趣的变化 .研究的是如何发现用户访问过程中所关注的兴趣内容 ,从而为网站的个性化推荐服务 .首先对网站的内容抽取出概念 ,生成概念树 ,在此基础上提出了一个基于 Rough集的用户兴趣访问模式的发现算法 。Personalized web site is a trend of intelligent E commerce site today, which is to modify the topology framework of the site in order to cater to every user's interests. Discussed in this paper is how to discover the user's interest during his visiting the site, which makes the site provide the personalization service. Firstly the concept is extracted from the site and the concept tree is generated. Based on this tree, an algorithm of the user's visiting interest recognition is brought forward. And further, the algorithm is discussed, and the proof is given.

关 键 词：ROUGH集 发现算法 个性化网站 ROUGH集 概念树 兴趣集 用户兴趣访问模式 INTERNET 

分 类 号：TP393.4[自动化与计算机技术—计算机应用技术] TP18[自动化与计算机技术—计算机科学与技术]