CUSTOMER PREFERENCE ANALYSIS FROM ONLINE REVIEWS BY A 2-ADDITIVE CHOQUET INTEGRAL-BASED PREFERENCE DISAGGREGATION MODEL

IF 4.8 2区 经济学 Q1 ECONOMICS
Huchang Liao, Qian Yang, Xingli Wu
{"title":"CUSTOMER PREFERENCE ANALYSIS FROM ONLINE REVIEWS BY A 2-ADDITIVE CHOQUET INTEGRAL-BASED PREFERENCE DISAGGREGATION MODEL","authors":"Huchang Liao, Qian Yang, Xingli Wu","doi":"10.3846/tede.2022.17972","DOIUrl":null,"url":null,"abstract":"Online reviews have become an important data source for analyzing consumers’ preferences. Consumer preference analysis assists product managers to understand consumers’ propensity for different product attributes and make consumer-oriented market strategies. Existing studies on consumer preference analysis used simple additive algorithms to represent the relationship between overall ratings and attribute ratings, but ignored the interactions between attributes. In addition, not all attribute ratings were given by consumers when calculating the overall ratings of a product. To fill these gaps, a preference model based on the extended 2-additive Choquet integral is constructed. The 2-additive Choquet integral can reflect the importance of attributes and the interactions between pairs of attributes when integrating attribute ratings. In cases where consumers choose only a subset of product attributes to rate a product, we introduce the scale parameter into the 2-additive Choquet integral to characterize the relationship between different attribute subsets. Afterwards, a preference disaggregation paradigm based on nonlinear programming is provided to solve the preference model. Finally, the proposed method is validated by experimental analysis using the dataset collected from TripAdvisor.com. Experimental outcomes indicate that our approach can deduce consumers’ preferences and approximate the evaluation behavior of consumers efficiently.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"25 1","pages":""},"PeriodicalIF":4.8000,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technological and Economic Development of Economy","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.3846/tede.2022.17972","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 1

Abstract

Online reviews have become an important data source for analyzing consumers’ preferences. Consumer preference analysis assists product managers to understand consumers’ propensity for different product attributes and make consumer-oriented market strategies. Existing studies on consumer preference analysis used simple additive algorithms to represent the relationship between overall ratings and attribute ratings, but ignored the interactions between attributes. In addition, not all attribute ratings were given by consumers when calculating the overall ratings of a product. To fill these gaps, a preference model based on the extended 2-additive Choquet integral is constructed. The 2-additive Choquet integral can reflect the importance of attributes and the interactions between pairs of attributes when integrating attribute ratings. In cases where consumers choose only a subset of product attributes to rate a product, we introduce the scale parameter into the 2-additive Choquet integral to characterize the relationship between different attribute subsets. Afterwards, a preference disaggregation paradigm based on nonlinear programming is provided to solve the preference model. Finally, the proposed method is validated by experimental analysis using the dataset collected from TripAdvisor.com. Experimental outcomes indicate that our approach can deduce consumers’ preferences and approximate the evaluation behavior of consumers efficiently.
基于2加性choquet积分偏好分解模型的在线评论顾客偏好分析
在线评论已经成为分析消费者偏好的重要数据来源。消费者偏好分析有助于产品经理了解消费者对不同产品属性的倾向,制定以消费者为导向的市场策略。现有的消费者偏好分析研究采用简单的加性算法来表示总体评分与属性评分之间的关系,而忽略了属性之间的相互作用。此外,在计算产品的总体评级时,并非所有属性评级都是由消费者给出的。为了填补这些空白,构造了基于扩展的2-可加Choquet积分的偏好模型。2加性Choquet积分在积分属性等级时可以反映属性的重要性和属性对之间的相互作用。在消费者只选择产品属性的一个子集来评价产品的情况下,我们在2-可加性Choquet积分中引入尺度参数来表征不同属性子集之间的关系。然后,提出了一种基于非线性规划的偏好分解范式来求解偏好模型。最后,利用TripAdvisor.com的数据集进行实验分析,验证了该方法的有效性。实验结果表明,该方法可以有效地推断出消费者的偏好并近似消费者的评价行为。
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
CiteScore
10.00
自引率
8.50%
发文量
66
审稿时长
15 weeks
期刊介绍: Technological and Economic Development of Economy is a refereed journal that publishes original research and review articles and book reviews. The Journal is designed for publishing articles in the following fields of research: systems for sustainable development, policy on sustainable development, legislation on sustainable development, strategies, approaches and methods for sustainable development, visions and scenarios for the future, education for sustainable development, institutional change and sustainable development, health care and sustainable development, alternative economic paradigms for sustainable development, partnership in the field of sustainable development, industry and sustainable development, sustainable development challenges to business and management, technological changes and sustainable development, social aspects of sustainability, economic dimensions of sustainability, political dimensions of sustainability, innovations, life cycle design and assessment, ethics and sustainability, sustainable design and material selection, assessment of environmental impact, ecology and sustainability, application case studies, best practices, decision making theory, models of operations research, theory and practice of operations research, statistics, optimization, simulation. All papers to be published in Technological and Economic Development of Economy are peer reviewed by two appointed experts. The Journal is published quarterly, in March, June, September and December.
×
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