On detecting frauds in comparison-shopping services
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Sang-Chul . | - |
dc.contributor.author | Chae, Dong-Kyu | - |
dc.contributor.author | Faloutsos, Christos | - |
dc.contributor.author | Kim, Sang-Wook | - |
dc.date.accessioned | 2022-07-14T07:26:59Z | - |
dc.date.available | 2022-07-14T07:26:59Z | - |
dc.date.created | 2021-05-13 | - |
dc.date.issued | 2017-04 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/152562 | - |
dc.description.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. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | International World Wide Web Conferences Steering Committee | - |
dc.title | On detecting frauds in comparison-shopping services | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Sang-Wook | - |
dc.identifier.doi | 10.1145/3041021.3054219 | - |
dc.identifier.scopusid | 2-s2.0-85060275934 | - |
dc.identifier.bibliographicCitation | 26th International World Wide Web Conference 2017, WWW 2017 Companion, pp.811 - 812 | - |
dc.relation.isPartOf | 26th International World Wide Web Conference 2017, WWW 2017 Companion | - |
dc.citation.title | 26th International World Wide Web Conference 2017, WWW 2017 Companion | - |
dc.citation.startPage | 811 | - |
dc.citation.endPage | 812 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | World Wide Web | - |
dc.subject.keywordPlus | Comparison shopping | - |
dc.subject.keywordPlus | Fraud detection | - |
dc.subject.keywordPlus | User behavior analysis | - |
dc.subject.keywordPlus | Behavioral research | - |
dc.subject.keywordAuthor | Fraud detection | - |
dc.subject.keywordAuthor | User behavior analysis | - |
dc.identifier.url | https://dl.acm.org/doi/10.1145/3041021.3054219 | - |
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