基于Web日志的浏览兴趣度分析技术研究

本论文主要针对Web挖掘领域中的Web日志挖掘领域,分析了已有的度量用户浏览兴趣方式的不足,提出了一种基于用户浏览行为度量用户浏览兴趣的方法,并通过线性回归预测方法预测了浏览兴趣度,建立了更准确的浏览访问路径树。实验表明,该方法是可行的并且具有较好的效果。

Browse Interest Degree Analysis Based on Web Log

This paper is mainly in the field of Web Mining Web log mining areas.As a measure of the user＇s browser, it has analyzed＇ in the lack of means, on the basis of this, a measure based on user browsing interest is proposed in the way of the user＇s browser, and through the linear regression forecasting methods to predict the degree of interest, and establish a more accurate view of the access path tree. The experiments show that the method is feasible and has achieved good results.