摘要
随着Internet的迅速发展,人们必须面对信息爆炸的现实。描述了一种关键词向量的方式表达用户兴趣。将BIRCH聚类算法应用于用户访问的网络文档上来建立用户兴趣模型。基于Myspace用户日志,又实现了一个用户兴趣建模系统,该系统验证了提出方法的有效性。
With the rapid development of Interact, people have to face the situation of Information Explosion. This paper describes a key-word vector scheme to represent user＇s interest, then adapts a BIRCH clustering algorithm on the web document users have visited for build- ing user＇s interest model. Furthermore, a User Interest Modeling system based on Myspace＇s user log is implemented and the effectiveness of the proposed method is also verified.
出处
《智能计算机与应用》
2013年第1期17-20,共4页
Intelligent Computer and Applications
基金
国家自然科学基金(60975077)
