摘要
由于Web信息的日益增长,人们不得不花费大量的时间去搜索,浏览自己需要的信息。自适应站点导航能够预测用户下一步的请求,帮助用户找到自己所需的信息。文中提出了一种改进的点击流树模型,其主要特点是融入了站点的概念层次。实验表明改进后的算法提高了导航路径的预测精度。
Due to increasing Web information,people have to spend much time searching and browsing their information.Adaptive Web Site Navigation can predict the next user request and help users find what they need.In this paper, we propose an improved Click-Stream Tree model characterized by incorporating conceptual hierarchy of the web site. Experimental results show the improved algorithm can predict navigation path more accurately.
出处
《计算机工程与应用》
CSCD
北大核心
2006年第A01期120-123,共4页
Computer Engineering and Applications
关键词
WEB使用挖掘
点击流树
概念层次树
Web usage mining
click-stream tree
concept hierarchy tree
