摘要
在大数据背景下,越来越多的网络用户行为被自动化设备记录下来,通过加强对海量互联网用户行为数据信息的深入挖掘分析,获取具有价值的行为信息,将能够全面准确掌握用户的实际需求,进而有利于企业及时优化服务,满足用户的个性化需求。基于此,笔者将进一步对大数据背景下的互联网用户行为展开分析与探讨,旨在为相关研究提供借鉴。
In the context of big data,more and more network user behaviors are recorded by automation equipment.By strengthening the in-depth mining and analysis of massive Internet user behavior data information and obtaining valuable behavior information,it will be able to comprehensively and accurately grasp the actual needs of users,which will be conducive to the timely optimization of services and meet the personalized needs of users.Based on this,the author will further analyze and discuss the Internet user behavior in the context of big data,in or der to provide reference for related research.
作者
洪如霞
Hong Ruxia(School of Mathematics and Computer,Yuzhang Normal University,Nanchang Jiangxi 330031,China)
出处
《信息与电脑》
2020年第4期155-157,共3页
Information & Computer
基金
江西省教育厅科技项目“基于大数据的移动互联网用户行为研究”(项目编号:GJJ161304)。