电子商务投诉举报信息分类与编码体系研究  

Research on the System of Information Classification and Coding of E-commerce Complaints and Tip-offs

作　　者：茅海军[1] 吴颖育 张志清 程越[4] MAO hai-jun;WU Ying-yu;ZHANG Zhi-qing;CHENG Yue(China Jiliang University;Market Regulation Bureau of Wujiang District,Suzhou;Information Center,State Administration for Market Regulation;China National Institute of Standardization)

机构地区：[1]中国计量大学 [2]苏州市吴江区市场监督管理局 [3]国家市场监督管理总局信息中心 [4]中国标准化研究院

出　　处：《标准科学》2022年第6期68-71,共4页Standard Science

基　　金：国家市场监督管理总局科技计划项目“海量数据下网络交易监管信息融合关键技术研究及应用”(项目编号:2021MK191)成果之一。

摘　　要：近年来,随着我国电商平台的快速发展,消费者对电子商务交易的投诉举报日益增加,由此给处理电商投诉举报工作的各相关部门造成了巨大压力。因此,如何高效地处理电子商务投诉举报问题成为各方共同关注的焦点。本文通过对投诉举报信息进行科学分类和统一的编码标识,以达到对数据类别在语义上的一致性和无歧义理解,从而对信息进行有效的融合和管理。为今后实现投诉举报数据共享,进行大数据分析,提升网络交易监管水平奠定基础。With the rapid development of China’s e-commerce platform in recent years, the complaints about e-commerce transactions of consumers have increased, posing tremendous pressure on the relevant departments dealing with e-commerce complaints and tip-offs. How to deal with e-commerce complaints and tip-offs efficiently becomes the concern of all parties. In this paper, the information of complaint and tip-off is classified scientifically and identified by a unified code to achieve semantic consistency and the same understanding of data category in order to make information integration and management effectively. This paper is based on the foundation for the future data sharing of complaints and tip-offs and big data analysis in order to improve the supervision of online transactions.

关 键 词：电子商务 投诉举报 信息分类 编码 

分 类 号：F724.6[经济管理—产业经济] TP311.13[自动化与计算机技术—计算机软件与理论]