摘要
针对当前网络交易违法现象人工识别、排查难的监管问题,本文通过运用互联网搜索引擎、文本检索、数据挖掘以及bloom过滤技术设计了电子商务网站违法行为监管平台.该平台支持对电子商务网络经济主体网站的识别与建库、网络违法经营行为与网络违法广告行为的自动排查、电子标识亮照与防伪检测等功能,在实践应用中,该平台充分表现出明显高于人工监管的效率与优势,提升了网络违法案件的查处效率.
According to the manual recognition and identification difficulty of the E-business illegal behavior, an Ebusiness supervision platform is developed through the use of the internet search engine, text retrieval, data mining, and bloom filtering technologies. This platform supports the identification and establishment of the E-business economic subject database, the illegal E-business behavior and advertising behavior search. It also realizes the electronic identification display and anti-fake detection. This platform shows better efficiency and superiority than manual working in practice.
作者
高学勤
王涛
GAO Xue-Qin;WANG Tao(Guangdong Polytechnic of Industry and Commerce, Guangzhou 510510, China;South China Normal University, Guangzhou 510631, China)
出处
《计算机系统应用》
2018年第8期119-125,共7页
Computer Systems & Applications
基金
广东省工商局课题(GPCGD103117FG257F)~~
关键词
电子商务
电子标识
行为监管
搜索引擎
E-business
electronic identification
behavior supervision
search engine
