数据挖掘方法与技术在虚假评论者检测中的应用研究进展

Research progress on application of data mining methods and techniques in detection of fake reviewers

虚假评论的存在严重扰乱了公平公正的市场竞争秩序,对虚假评论的识别和检测是函待研究的问题。虚假评论者是虚假评论行为的构成主体之一,多个虚假评论者通过相互协同构成了虚假评论群组,但现有综述缺乏对虚假评论者相关研究的专门述评。文章对相关中文文献进行了回顾和分析,总结了近年来国内数据挖掘方法与技术在虚假评论者和虚假评论群组检测中的应用,认为虚假评论检测领域未来可从正面和负面虚假评论的区别检测、虚假评论者数据集的建立、数据挖掘算法和框架的建立等方面开展深入研究。

The existence of fake reviews seriously disrupts the fair and just market competition order,and the recognition and detection of fake reviews are urgent issues that need to be studied.Fake reviewers are one of the main components of fake review behavior,and multiple fake reviewers cooperate with each other to form spammer groups.but there is a lack of special review on the related research of fake reviewer detection.This article reviews and analyzes relevant Chinese literature,summarizes the application of domestic data mining methods and technologies in the detection of fake reviewers and spammer group in recent years.The future research in the field of fake reviewer detection can be carried out from the aspects of distinguishing positive and negative fake review detection,establishing the fake reviewer data set that can effectively evaluate algorithms,and establishing more effective data mining algorithms and frameworks.