用户行为轨迹研究  

Research on User Behavior Trajectory

作　　者：林雪云[1] 

机构地区：[1]福建师范大学福清分校电子信息学院,福建福清350300

出　　处：《重庆工商大学学报（自然科学版）》2015年第1期78-82,共5页Journal of Chongqing Technology and Business University:Natural Science Edition

基　　金：福建省教育厅B类项目(JB13197)

摘　　要：针对目前使用最广泛的谷歌搜索、淘宝网、开心网用户行为轨迹的优缺点,提出"从用户寻找信息"的被动服务模式到"信息寻找用户"的主动服务模式,利用Clickstream研究建设相应的数据信息采集方法,构造用户轨迹研究建设思路——采集、分析、推荐、评价、反馈,抽象提出六大模型体系,分析了三大应用场景:应用内容推荐、关注应用推荐、辅助重点应用保障,并对用户行为轨迹改造进行案例分析应用。According to the advantages and disadvantages of the user behavior trajectory in the most widely used networks such as Google search,Taobao and Happy Network,that the passive service model of＂user seeking information＂is changed into the active service model of＂information seeking users＂is presented,the corresponding data information collection method is built by clickstream research,the user trajectory research construction including six model systems such as collection,analysis,recommendation,evaluation,feedback and abstraction is built,three application scenarios such as application content recommendation, concerned application recommendation and aided important application security are analyzed,and the case analysis and application for user behavior trajectory reconstruction is conducted.

关 键 词：应用场景 用户行为轨迹 被动服务模式 主动服务模式 

分 类 号：TP131.2[自动化与计算机技术—控制理论与控制工程]