基于Web挖掘的主页多主题更新模型

Model for updating multi-topics on homepage based on Web data mining

针对改善网站主页中多个主题更新的合理性问题,提出了一种新颖的基于W eb数据挖掘技术的主页主题更新模型。对当前主页主题更新方法进行分析,指出目前一些大学校园网站主页主题更新的不合理性,然后通过数据挖掘,从安徽理工大学网站W eb日志中提取有效数据,分析各个主题的点击率随时间的变化趋势,进而提出基于点击率的网站主页主题更新模型。实验结果证明,模型能够实现对主页主题的合理更新,有效提高网站主页的受欢迎程度。

To improve the reasonableness of updating multi-topics on homepage, this paper proposed a novel model based on Data Mining （ DM）. Firstly, after deep research of the present methods of updating topics, the irrationality of updating multi-topics on homepages, especially in college campus network, was pointed out. Then some valid data were extracted from Web log of Anhui University of Science and Technology （AUST） was used to analyze the continuously changing trend of click rate of every topic. Based on the obtained trend, a model for updating multi-topics on homepage was proposed. Experimental results show that the proposed model can reasonably update multi-topics, and enhance the popularity of homepages efficiently.