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On detecting frauds in comparison-shopping services
- Issue Date
- Apr-2017
- Publisher
- International World Wide Web Conferences Steering Committee
- Keywords
- Fraud detection; User behavior analysis
- Citation
- 26th International World Wide Web Conference 2017, WWW 2017 Companion, pp.811 - 812
- Indexed
- SCOPUS
- Journal Title
- 26th International World Wide Web Conference 2017, WWW 2017 Companion
- Start Page
- 811
- End Page
- 812
- 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.
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Related Researcher
- Kim, Sang-Wook
- COLLEGE OF ENGINEERING (SCHOOL OF COMPUTER SCIENCE)