Graph-based review spammer group detection

Online product reviews nowadays are increasingly prevalent in E-commerce websites. People often refer to product reviews to evaluate the quality of a product before purchasing. However, there have been a large number of review spammers who often work collaboratively to promote or demote target produ...

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Bibliographic Details
Published in:	Knowledge and information systems Vol. 55; no. 3; pp. 571 - 597
Main Authors:	Wang, Zhuo, Gu, Songmin, Zhao, Xiangnan, Xu, Xiaowei
Format:	Journal Article
Language:	English
Published:	London Springer London 01.06.2018 Springer Nature B.V
Subjects:	Algorithms Computer Science Consumer behavior Data Mining and Knowledge Discovery Database Management Electronic commerce Graph theory Graphs Information Storage and Retrieval Information Systems and Communication Service Information Systems Applications (incl.Internet) IT in Business Machine learning Product reviews Regular Paper Websites Review spammer groups Review spam Opinion mining Fraud detection Bi-connected graph Graph mining
ISSN:	0219-1377, 0219-3116
Online Access:	Get full text
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