基于网页浏览的用户兴趣度研究

Users' Interests Based on Users' Web Browser Log

根据高校校园网用户的网页浏览记录,着重分析用户在浏览网页时的不同行为兴趣特征.首先利用文本分类技术,分析提取出用户的兴趣行为关键词.其次在兴趣行为关键词的基础上,选取了若干典型个体用户,统计出这些典型个体用户网页浏览记录中对于每个兴趣关键词的访问量随时间变化的关系.最后运用归一化的方法对典型个体用户的兴趣度进行量化研究,从而实现了对于用户网页浏览过程中不同兴趣行为的度量以及进行相互比较的目标.

Many different users＇ behavior characteristics were emphatically analyzed according to the college campus network users＇ web browser log.Some kinds of interest keywords were extracted from it to show the different users＇ interests.Then typical users were selected in order to calculate the amount of the users＇ access which is changing with time on the basis of the interest keywords in classification.By using the normalization method,the quantified different users＇ degrees of interests were displayed and compared with.