Fraud Detection in Comparison-Shopping Services: Patterns and Anomalies in User Click Behaviors
- Authors
- Lee, Sang-Chul; Faloutsos, Christos; Chae, Dong-Kyu; Kim, Sang-Wook
- Issue Date
- Oct-2017
- Publisher
- IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
- Keywords
- fraud detection; comparison-shopping services; user behavior analysis
- Citation
- IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E100D, no.10, pp.2659 - 2663
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
- Volume
- E100D
- Number
- 10
- Start Page
- 2659
- End Page
- 2663
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/151515
- DOI
- 10.1587/transinf.2017EDL8094
- ISSN
- 1745-1361
- Abstract
- This paper deals with a novel, interesting problem of detecting frauds in comparison-shopping services (CSS). In CSS, there exist frauds who perform excessive clicks on a target item. They aim at making the item look very popular and subsequently ranked high in the search and recommendation results. As a result, frauds may distort the quality of recommendations and searches. We propose an approach of detecting such frauds by analyzing click behaviors of users in CSS. We evaluate the effectiveness of the proposed approach on a real-world clickstream dataset.
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