E-commerce Review System to Detect False Reviews.
E-commerce sites have been doing profitable business since their induction in high-speed and secured networks. Moreover, they continue to influence consumers through various methods. One of the most effective methods is the e-commerce review rating system, in which consumers provide review ratings f...
| Publicado en: | Science & Engineering Ethics Vol. 24; no. 5; pp. 1577 - 1589 |
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| Autor principal: | |
| Formato: | Artículo |
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Springer Nature
Oct2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=132498921&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 132498921 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 13533452 GNI jtl: Science & Engineering Ethics issn: 13533452 maglogo: N pubinfo: dt: Oct2018 vid: 24 iid: 5 pid: 237 pub: Springer Nature artinfo: ui: 132498921 10.1007/s11948-017-9959-2 ppf: 1577 ppct: 12 formats: fmt: @attributes: type: P size: 904KB tig: atl: E-commerce Review System to Detect False Reviews. aug: au: Kolhar, Manjur affil: Department of Computer Science, College of Arts and Science, Prince Sattam Bin Abdulaziz University, 11990, Wadi Ad Dawaser, Saudi Arabia su: Electronic commerce Websites Consumers' reviews Social media Consumer behavior sug: subj: Electronic commerce Websites Consumers' reviews Social media Consumer behavior keyword: Cloud computing Cumulative sum E-commerce False review rating Product review ab: E-commerce sites have been doing profitable business since their induction in high-speed and secured networks. Moreover, they continue to influence consumers through various methods. One of the most effective methods is the e-commerce review rating system, in which consumers provide review ratings for the products used. However, almost all e-commerce review rating systems are unable to provide cumulative review ratings. Furthermore, review ratings are influenced by positive and negative malicious feedback ratings, collectively called false reviews. In this paper, we proposed an e-commerce review system framework developed using the cumulative sum method to detect and remove malicious review ratings. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Science & Engineering Ethics is a copyright of Springer, 2018. All Rights Reserved. item: Science & Engineering Ethics holder: Springer Nature dt: @attributes: year: 2018 holdings: @attributes: islocal: N |
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