On detecting frauds in comparison-shopping services

Sang Chul Lee, Dong Kyu Chae, Christos Faloutsos, Sang Wook Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In comparison-shopping services (CSS), there exist frauds who perform excessive clicks on a target item in order to boost the popularity of it. In this paper, we introduce the problem of detecting frauds in CSS and propose three anomaly scores designed based on click behaviors of users in CSS.

Original languageEnglish
Title of host publication26th International World Wide Web Conference 2017, WWW 2017 Companion
PublisherInternational World Wide Web Conferences Steering Committee
Pages811-812
Number of pages2
ISBN (Electronic)9781450349147
DOIs
Publication statusPublished - 2019 Jan 1
Event26th International World Wide Web Conference, WWW 2017 Companion - Perth, Australia
Duration: 2017 Apr 32017 Apr 7

Publication series

Name26th International World Wide Web Conference 2017, WWW 2017 Companion

Other

Other26th International World Wide Web Conference, WWW 2017 Companion
CountryAustralia
CityPerth
Period17/04/317/04/7

Keywords

  • Fraud detection
  • User behavior analysis

Cite this

Lee, S. C., Chae, D. K., Faloutsos, C., & Kim, S. W. (2019). On detecting frauds in comparison-shopping services. In 26th International World Wide Web Conference 2017, WWW 2017 Companion (pp. 811-812). (26th International World Wide Web Conference 2017, WWW 2017 Companion). International World Wide Web Conferences Steering Committee. https://doi.org/10.1145/3041021.3054219