Fraud detection in comparison-shopping services: Patterns and anomalies in user click behaviors

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

Research output: Contribution to journalArticle

3 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)2659-2663
Number of pages5
JournalIEICE Transactions on Information and Systems
VolumeE100D
Issue number10
DOIs
StatePublished - 2017 Oct

Keywords

  • Comparison-shopping services
  • Fraud detection
  • User behavior analysis

Cite this

Lee, Sang Chul ; Faloutsos, Christos ; Chae, Dong Kyu ; Kim, Sang Wook. / Fraud detection in comparison-shopping services : Patterns and anomalies in user click behaviors. In: IEICE Transactions on Information and Systems. 2017 ; Vol. E100D, No. 10. pp. 2659-2663.
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Fraud detection in comparison-shopping services : Patterns and anomalies in user click behaviors. / Lee, Sang Chul; Faloutsos, Christos; Chae, Dong Kyu; Kim, Sang Wook.

In: IEICE Transactions on Information and Systems, Vol. E100D, No. 10, 10.2017, p. 2659-2663.

Research output: Contribution to journalArticle

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