Personalized Ranking of Online Reviews Based on Consumer Preferences in Product Features

IF 4.2 3区管理学 Q2 BUSINESS

International Journal of Electronic Commerce Pub Date : 2021-01-02 DOI:10.1080/10864415.2021.1846852

Anupama Dash, Dongsong Zhang, Lina Zhou

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引用次数: 22

Abstract

ABSTRACT Online consumer reviews (OCRs) can function as a venue for digital collaboration among various stakeholders to better meet collaborate in consumer needs. The sheer volume of OCRs, however, has posed challenges to efficient search and navigation. Importantly, consumers' needs of product information may differ because of their different preferences in product features. Such differences remain underaddressed in the OCR literature. This research introduces a novel framework - Product feature based Personalized Review Ranking (P2R2), which predicts review helpfulness for individual consumers based on their preferences in product features using a latent class regression model. The framework also leverages the similarities among different consumers to derive consumer classes. An empirical evaluation of a prototype of P2R2 with a user study provides strong evidence that the review rankings produced by P2R2 are more similar to users’ self-rankings than by a helpfulness vote based ranking method. The findings of this study offer theoretical insights, novel technical design artifacts, and empirical evidence for enhancing OCR platforms with review ranking personalization.

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基于消费者产品特征偏好的在线评论个性化排名

在线消费者评论(ocr)可以作为不同利益相关者之间数字协作的场所，以更好地满足消费者需求的协作。然而，大量的ocr给高效的搜索和导航带来了挑战。重要的是，由于消费者对产品特性的偏好不同，他们对产品信息的需求可能会有所不同。这些差异在OCR文献中仍未得到充分解决。本研究引入了一个新的框架——基于产品特征的个性化评论排名(P2R2)，该框架基于消费者对产品特征的偏好，使用潜在类回归模型预测消费者的评论有用性。该框架还利用不同消费者之间的相似性来派生消费者类。基于用户研究的P2R2原型的实证评估提供了强有力的证据，证明P2R2产生的评论排名更类似于用户的自我排名，而不是基于帮助性投票的排名方法。本研究的发现为通过评论排名个性化来增强OCR平台提供了理论见解、新颖的技术设计工件和经验证据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

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

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.