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 language | English |
|---|---|
| Title of host publication | 26th International World Wide Web Conference 2017, WWW 2017 Companion |
| Publisher | International World Wide Web Conferences Steering Committee |
| Pages | 811-812 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781450349147 |
| DOIs | |
| State | Published - 2017 |
| Event | 26th International World Wide Web Conference, WWW 2017 Companion - Perth, Australia Duration: 3 Apr 2017 → 7 Apr 2017 |
Publication series
| Name | 26th International World Wide Web Conference 2017, WWW 2017 Companion |
|---|
Conference
| Conference | 26th International World Wide Web Conference, WWW 2017 Companion |
|---|---|
| Country/Territory | Australia |
| City | Perth |
| Period | 3/04/17 → 7/04/17 |
Bibliographical note
Publisher Copyright:© 2017 International World Wide Web Conference Committee (IW3C2), published under Creative Commons CC BY 4.0 License.
Keywords
- Fraud detection
- User behavior analysis
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