CAJ | 학술논문

网络水军识别关键技术已成为当前数据挖掘领域最为活跃的研究之一。如何挖掘海量用户信息中潜藏的网络水军特征与行为模式，从而发现网络水军，以维护良好的网络环境，保障合理的网络秩序，已成为一项十分具有挑战性的工作。对比传统与新型网络水军识别研究，从识别特征角度对近几年内网络水军识别研究进展进行综述，对其关键技术和效用评价进行了前沿概括、比较和分析，并对网络水军识别中有待深入研究的难点和发展趋势进行了展望。
망락수군식별관건기술이성위당전수거알굴영역최위활약적연구지일。여하알굴해량용호신식중잠장적망락수군특정여행위모식，종이발현망락수군，이유호량호적망락배경，보장합리적망락질서，이성위일항십분구유도전성적공작。대비전통여신형망락수군식별연구，종식별특정각도대근궤년내망락수군식별연구진전진행종술，대기관건기술화효용평개진행료전연개괄、비교화분석，병대망락수군식별중유대심입연구적난점화발전추세진행료전망。
With its rising popularity, as evidenced in social networks, online shopping platforms and email systems, detection of Web spammer has already become one of the hottest topics in the data mining field. The main challenge of Web spammer detection is how to recognize spammer behavior patterns by examining spammer features and attributes from big dataset in order to limit the proliferation of Internet spam and insure quality of Internet service. This paper presents an overview of Web spammer detection, along with a comparison over the difference between traditional and burgeoning spammer detection approaches. The key techniques and evaluation methods are classified and discussed from several aspects. At last, the prospects for future development and suggestions for possible extensions are emphasized.