Conference
Detecting Collusive Cheating in Online Shopping Systems through Characteristics of Social Networks
Abstract
Detecting the collaborative cheating in an online shopping system is an important but challenging issue. In this paper, we propose a novel approach to detect the collusive manipulation on ratings in Amazon, an online shopping system. Rather than focusing on rating values, we believe the online shopping and rating activities have nontrivial attributes in terms of social network connections. Our major contributions include: (a) We build a virtual …
Authors
Niu J; Wang L; Chen Y; He W
Pagination
pp. 311-316
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
April 1, 2014
DOI
10.1109/infcomw.2014.6849250
Name of conference
2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)