Fraud Detection in Comparison-Shopping Services: Patterns and Anomalies in User Click Behaviors
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Sang-Chul | - |
dc.contributor.author | Faloutsos, Christos | - |
dc.contributor.author | Chae, Dong-Kyu | - |
dc.contributor.author | Kim, Sang-Wook | - |
dc.date.accessioned | 2022-07-13T05:03:12Z | - |
dc.date.available | 2022-07-13T05:03:12Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2017-10 | - |
dc.identifier.issn | 1745-1361 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/151515 | - |
dc.description.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. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG | - |
dc.title | Fraud Detection in Comparison-Shopping Services: Patterns and Anomalies in User Click Behaviors | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Chae, Dong-Kyu | - |
dc.contributor.affiliatedAuthor | Kim, Sang-Wook | - |
dc.identifier.doi | 10.1587/transinf.2017EDL8094 | - |
dc.identifier.scopusid | 2-s2.0-85030244968 | - |
dc.identifier.wosid | 000417988600047 | - |
dc.identifier.bibliographicCitation | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E100D, no.10, pp.2659 - 2663 | - |
dc.relation.isPartOf | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | - |
dc.citation.title | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | - |
dc.citation.volume | E100D | - |
dc.citation.number | 10 | - |
dc.citation.startPage | 2659 | - |
dc.citation.endPage | 2663 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
dc.subject.keywordPlus | Clickstreams | - |
dc.subject.keywordPlus | Comparison shopping | - |
dc.subject.keywordPlus | Fraud detection | - |
dc.subject.keywordPlus | Quality of recommendations | - |
dc.subject.keywordPlus | Real-world | - |
dc.subject.keywordPlus | User behavior analysis | - |
dc.subject.keywordAuthor | fraud detection | - |
dc.subject.keywordAuthor | comparison-shopping services | - |
dc.subject.keywordAuthor | user behavior analysis | - |
dc.identifier.url | https://www.jstage.jst.go.jp/article/transinf/E100.D/10/E100.D_2017EDL8094/_article | - |
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