Web用户聚类中访问路径差异性度量方法的研究

摘要

User' s access path is one of the parameters for measuring user' s interest degree when Web users clustering. In this paper, in combination with log recorders' features and proceeding from mathematical characteristics of parameter, we design an access path matrix represented by the binary to measure user' s interest degree, and present the construction method of dissimilarity matrix. Experiment shows that the access path matrix proposed in the paper is feasible, and the dissimilarity matrix generated is accurate in representing the difference of user' s access path.%用户访问路径是Web用户聚类时度量用户兴趣度的参数之一.结合日志记录的特点,从参数的数学特征出发,设计一种基于二进制数表示的访问路径矩阵来度量用户的兴趣度,并给出新的相异度矩阵构造法.实验表明,所提出的访问路径矩阵是可行的,生成的相异度矩阵在表现用户访问路径差异上是准确的.