| 电子商务网站违法行为监管平台 |
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| 引用本文： | 高学勤,王涛. 电子商务网站违法行为监管平台[J]. 计算机系统应用, 2018, 27(8): 119-125 |
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| 作者姓名： | 高学勤 王涛 |
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| 作者单位： | 广东工贸职业技术学院, 广州 510510,华南师范大学, 广州 510631 |
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| 基金项目： | 广东省工商局课题（GPCGD103117FG257F） |
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| 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.
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| 关 键 词： | 电子商务 电子标识 行为监管 搜索引擎 |
| 收稿时间： | 2017-12-25 |
| 修稿时间： | 2018-01-16 |
E-Business Website Illegal Behaviors Supervision Platform |
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| GAO Xue-Qin and WANG Tao. E-Business Website Illegal Behaviors Supervision Platform[J]. Computer Systems& Applications, 2018, 27(8): 119-125 |
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| Authors: | GAO Xue-Qin and WANG Tao |
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| Affiliation: | Guangdong Polytechnic of Industry and Commerce, Guangzhou 510510, China and South China Normal University, Guangzhou 510631, China |
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| Abstract: | According to the manual recognition and identification difficulty of the E-business illegal behavior, an E-business 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. |
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| Keywords: | E-business electronic identification behavior supervision search engine |
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