An Iterative Deviation-based Ranking Method to Evaluate User Reputation in Online Rating Systems

Jia Tao Huang, Hong Liang Sun, Xiao Fei Chen, Xiao Lin Liu, Jie Cao

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

With the exponential growth of data scales in the contemporary e-commerce systems, rating items with biased or misleading scores lead to poor performance of recommendation systems. Measures on user reputation are highly preferred to identify those with deliberate biased or random rating spammers. Despite the fact that previous methods are relatively feasible, they are not accurate or robust when the numbers of malicious users have reached a critical value. In this paper, we propose an iterative deviation-based user reputation ranking (IDR) method. It is inspired by the common fact that user with higher ranking usually performs less biased rating scores. Another factor that influences the ranking coming from their rating patterns. High quality rating scores are usually given by users with peaked rating patterns. Experimental results on four real sparse data sets show that the accuracy and robustness of the proposed method are better than the existing state of arts methods.

Original languageEnglish
Title of host publication2021 4th International Conference on Data Science and Information Technology, DSIT 2021
PublisherAssociation for Computing Machinery
Pages15-21
Number of pages7
ISBN (Electronic)9781450390248
DOIs
Publication statusPublished - 23 Jul 2021
Externally publishedYes
Event4th International Conference on Data Science and Information Technology, DSIT 2021 - Shanghai, China
Duration: 23 Jul 202125 Jul 2021

Publication series

NameACM International Conference Proceeding Series

Conference

Conference4th International Conference on Data Science and Information Technology, DSIT 2021
Country/TerritoryChina
CityShanghai
Period23/07/2125/07/21

Keywords

  • Bipartite Networks
  • E-commerce System
  • Malicious Rating Detection
  • Reputation Ranking System

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'An Iterative Deviation-based Ranking Method to Evaluate User Reputation in Online Rating Systems'. Together they form a unique fingerprint.

Cite this