摘要
为了挖掘Web日志中蕴含的用户访问模式,针对单个用户的浏览特征进行定量分析.通过构建用户访问空间,利用拟合、幂指数、主成分分析等方法确定了纵向和横向两个面中各个维度的计算方法,并归纳了用户访问特性.分析结果表明,用户单次浏览站点数一般在25以内,且用户的访问动机确有主次之分,所关注的站点有明显的集中性和稳定性.
In order to find the user access patterns which were inherent in the Web log,a quantitative analysis about the browsing characteristics of the individual user was made.After the construction of user browsing space,data fitting,power function,principal component and other methods were used to deter-mine the value of each dimension,which is included in the vertical or horizontal plane of the space.Besides, through studying,several meaningful patterns of browsing behavior were found in the experiment.Through the analysis of the results,the number of the site in single browsing times for the user is generally within 25,the access motivation has the primary and secondary points,and the attention to the site has obvious concentration and stability.
出处
《内蒙古师范大学学报（自然科学汉文版）》
CAS
北大核心
2015年第5期656-659,共4页
Journal of Inner Mongolia Normal University(Natural Science Edition)
基金
内蒙古高等学校科学研究项目(NJZY14334)
关键词
浏览特征
用户访问空间
访问模式
定量分析
browsing characteristics
user browsing space
access patterns
quantitative analysis
