MINING ONLINE REVIEWS TO SUPPORT CUSTOMERS’ DECISION-MAKING PROCESS IN E-COMMERCE PLATFORMS: A NARRATIVE LITERATURE REVIEW

IF 2 4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Abdessamad Benlahbib, Achraf Boumhidi, E. Nfaoui
{"title":"MINING ONLINE REVIEWS TO SUPPORT CUSTOMERS’ DECISION-MAKING PROCESS IN E-COMMERCE PLATFORMS: A NARRATIVE LITERATURE REVIEW","authors":"Abdessamad Benlahbib, Achraf Boumhidi, E. Nfaoui","doi":"10.1080/10919392.2022.2053454","DOIUrl":null,"url":null,"abstract":"ABSTRACT By dint of the massive daily production of user-generated content (textual reviews) in E-commerce platforms, the need to automatically process it and extract different types of knowledge from it becomes a necessity. In this work, an attempt has been made to summarize some studies that aim to propose systems, which automatically mine textual reviews expressed in natural languages for the purpose of supporting customers’ decision-making process in E-commerce (buying, renting, and booking). The given review is the first work of this type and it includes 44 studies (30 aspect/feature-based summarizers and 14 reputation systems) published from 2004 to 2021. First, it investigates aspect and feature-based summarizers that aim to help customers in making an informed decision toward online entities (products, movies, hotels, services …). Second, it introduces reputation generation systems that seek to provide valuable information about online items. Finally, it provides recommendations for future research directions and open problems.","PeriodicalId":54777,"journal":{"name":"Journal of Organizational Computing and Electronic Commerce","volume":"32 1","pages":"69 - 97"},"PeriodicalIF":2.0000,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Organizational Computing and Electronic Commerce","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1080/10919392.2022.2053454","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 3

Abstract

ABSTRACT By dint of the massive daily production of user-generated content (textual reviews) in E-commerce platforms, the need to automatically process it and extract different types of knowledge from it becomes a necessity. In this work, an attempt has been made to summarize some studies that aim to propose systems, which automatically mine textual reviews expressed in natural languages for the purpose of supporting customers’ decision-making process in E-commerce (buying, renting, and booking). The given review is the first work of this type and it includes 44 studies (30 aspect/feature-based summarizers and 14 reputation systems) published from 2004 to 2021. First, it investigates aspect and feature-based summarizers that aim to help customers in making an informed decision toward online entities (products, movies, hotels, services …). Second, it introduces reputation generation systems that seek to provide valuable information about online items. Finally, it provides recommendations for future research directions and open problems.
挖掘在线评论以支持电子商务平台中的客户决策过程:叙事性文献综述
摘要由于电子商务平台中用户生成的内容(文本评论)每天都在大量生产,因此需要对其进行自动处理并从中提取不同类型的知识。在这项工作中,我们试图总结一些旨在提出系统的研究,该系统自动挖掘用自然语言表达的文本评论,以支持客户在电子商务(购买、租赁和预订)中的决策过程。该综述是这类工作的第一篇,包括2004年至2021年发表的44项研究(30项基于方面/特征的综述和14项声誉系统)。首先,它调查了基于方面和特征的汇总器,旨在帮助客户对在线实体(产品、电影、酒店、服务…)做出明智的决定。其次,它引入了信誉生成系统,旨在提供有关在线物品的有价值的信息。最后,对未来的研究方向和有待解决的问题提出了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Organizational Computing and Electronic Commerce
Journal of Organizational Computing and Electronic Commerce 工程技术-计算机:跨学科应用
CiteScore
5.80
自引率
17.20%
发文量
7
审稿时长
>12 weeks
期刊介绍: The aim of the Journal of Organizational Computing and Electronic Commerce (JOCEC) is to publish quality, fresh, and innovative work that will make a difference for future research and practice rather than focusing on well-established research areas. JOCEC publishes original research that explores the relationships between computer/communication technology and the design, operations, and performance of organizations. This includes implications of the technologies for organizational structure and dynamics, technological advances to keep pace with changes of organizations and their environments, emerging technological possibilities for improving organizational performance, and the many facets of electronic business. Theoretical, experimental, survey, and design science research are all welcome and might look at: • E-commerce • Collaborative commerce • Interorganizational systems • Enterprise systems • Supply chain technologies • Computer-supported cooperative work • Computer-aided coordination • Economics of organizational computing • Technologies for organizational learning • Behavioral aspects of organizational computing.
×
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