基于网络日志的用户行为检测和画像构建技术  

User behavior detection and portrait construction technology based on Web logs

作　　者：商家衡 郝久月[2] Shang Jiaheng;Hao Jiuyue(People's Public Security University of China,Beijing 100038,China;First Research Institute of The Ministry of Public Security of PRC)

机构地区：[1]中国人民公安大学,北京100038 [2]公安部第一研究所

出　　处：《计算机时代》2022年第5期25-28,共4页Computer Era

摘　　要：针对现代互联网环境下,网络日志规模急速扩张,可挖掘内容极为丰富的现状,梳理国内基于网络日志的用户行为检测和用户画像领域的主要文献及工作。简要叙述上述两个领域的基本理论,并以公安工作、电子商务、医疗健康、旅游行业和图书馆业这五个行业中的案例来总结上述两个领域内的主要应用。对网络日志进行挖掘可以极大地提升用户体验,但也要正视其在隐私保护方面的缺失。In view of the rapid expansion of Web logs in the modern Internet environment and the current situation of extremely rich content can be explored, in this paper, the main literature and work in the field of user behavior detection and user portrait based on Web logs in China are sorted out. Briefly describing the basic theories of the above two fields, the actual cases in the five industries of public security work, e-commerce, medical health, tourism and library industry are used to summarize the main applications in the above two fields. Mining weblog can greatly enhance user experience, but it should also face up to its lack of privacy protection.

关 键 词：用户行为检测 用户画像 网络日志 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]