摘要
通过给出页面层次的概念,充分考虑用户在页面上的浏览时间以及在路径选择上表现出来的浏览偏爱,结合Web站点的结构层次特征,提出了一种改进的Web用户浏览偏爱模式挖掘算法。通过具体的事例和试验数据证明,新的模型能够更准确地寻找用户浏览偏爱模式,从而发现用户的兴趣和爱好。
By giving the concept of page hierarchy,fully considering the user's browsing time on the page and the browsing preference shown in the path selection,combined with the structural hierarchy characteristics of the web site,an improved web user browsing preference pattern mining algorithm is proposed.Through specific examples and experimental data,it is proved that the new model can more accurately find users'browsing preference pattern,so as to find users'interests and hobbies.
作者
宁建飞
Ning Jianfei(Department of Information Engineering,Luoding Polytechnic College,Luoding,Guangdong 527200,China)
出处
《计算机时代》
2021年第8期47-50,共4页
Computer Era
基金
广西多源信息挖掘与安全重点实验室开放基金项目(MIMS20-05)。
关键词
WEB用户
浏览偏爱
访问事务集
模式挖掘
Web user
browsing preference
access transaction set
pattern mining
