检测虚假在线评论:无监督检测方法与新颖的性能评估

IF 4.2 3区 管理学 Q2 BUSINESS
Yuchen Pan, Lu Xu
{"title":"检测虚假在线评论:无监督检测方法与新颖的性能评估","authors":"Yuchen Pan, Lu Xu","doi":"10.1080/10864415.2023.2295067","DOIUrl":null,"url":null,"abstract":"Fake reviews are critical issues in the online world, as they affect the credibility of e-commerce platforms and undermine consumers’ trust. Therefore, fake-review detection is of great significanc...","PeriodicalId":13928,"journal":{"name":"International Journal of Electronic Commerce","volume":"56 40 1","pages":""},"PeriodicalIF":4.2000,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Detecting Fake Online Reviews: An Unsupervised Detection Method With a Novel Performance Evaluation\",\"authors\":\"Yuchen Pan, Lu Xu\",\"doi\":\"10.1080/10864415.2023.2295067\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fake reviews are critical issues in the online world, as they affect the credibility of e-commerce platforms and undermine consumers’ trust. Therefore, fake-review detection is of great significanc...\",\"PeriodicalId\":13928,\"journal\":{\"name\":\"International Journal of Electronic Commerce\",\"volume\":\"56 40 1\",\"pages\":\"\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2024-01-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Electronic Commerce\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1080/10864415.2023.2295067\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Electronic Commerce","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1080/10864415.2023.2295067","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0

摘要

虚假评论是网络世界中的关键问题,因为它们会影响电子商务平台的可信度并破坏消费者的信任。因此,虚假评论检测具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detecting Fake Online Reviews: An Unsupervised Detection Method With a Novel Performance Evaluation
Fake reviews are critical issues in the online world, as they affect the credibility of e-commerce platforms and undermine consumers’ trust. Therefore, fake-review detection is of great significanc...
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
International Journal of Electronic Commerce
International Journal of Electronic Commerce 工程技术-计算机:软件工程
CiteScore
7.20
自引率
16.00%
发文量
18
审稿时长
>12 weeks
期刊介绍: The International Journal of Electronic Commerce is the leading refereed quarterly devoted to advancing the understanding and practice of electronic commerce. It serves the needs of researchers as well as practitioners and executives involved in electronic commerce. The Journal aims to offer an integrated view of the field by presenting approaches of multiple disciplines. Electronic commerce is the sharing of business information, maintaining business relationships, and conducting business transactions by digital means over telecommunications networks. The Journal accepts empirical and interpretive submissions that make a significant novel contribution to this field.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信