摘要
为提高动态网络环境下用户信息搜索质量,提出动态网络环境下用户信息搜索行为追踪方法.分析动态网络环境下用户认证协议,根据认证协议进行用户搜索路径的相似度特征辨识,获取用户搜索有效信息,并在此构建用户搜索路径空间模型,采用最小二乘拟合方法进行动态网络环境下用户搜索的行为参数自适应调节,根据驱动参数进行动态网络环境下用户信息搜索路径的智能追踪,实现动态网络环境下用户信息搜索行为追踪.经仿真结果表明,采用该方法进行监测效率高,追踪精度强.
A method of tracking user information search behavior is proposed in order to improve the quality of user information search in dynamic network.The user authentication protocol in dynamic network was analyzed.According to the authentication protocol,the similarity characteristics of user search path were identified,the effective information of user search was obtained and the user search path space model was constructed.The least square fitting method was used to adjust adaptively the user search behavior parameters in the dynamic network environment.According to the driving parameters,the intelligent tracking of user information search path was carried out,and the user information search behavior tracking was realized.The simulation results show that this method has high efficiency and high tracking accuracy.
作者
刘博
LIU Bo(College of Business Administration,Dalian University of Finance and Economics,Dalian 116600,China)
出处
《内蒙古民族大学学报（自然科学版）》
2020年第4期304-309,共6页
Journal of Inner Mongolia Minzu University：Natural Sciences
基金
大连社科院课题(2018dlskyb262)
大连财经学院2018年度教学改革专项课题(2018dlcjjg04)
大连财经学院2018年度教学改革专项课题(2018dlcjjg05)。
关键词
动态网络
用户信息搜索
行为监测追踪
检测与追踪
最小二乘拟合
Dynamic network
User information search
Behavior monitoring tracking
Detection and tracking
Least squares fitting
