基于在线评级和评论的评价者效用机制研究

doi:10.16381/j.cnki.issn1003-207x.2016.05.017

中国管理科学 ›› 2016, Vol. 24 ›› Issue (5): 149-157.doi: 10.16381/j.cnki.issn1003-207x.2016.05.017

基于在线评级和评论的评价者效用机制研究

施晓菁¹, 梁循¹, 孙晓蕾²

1. 中国人民大学信息学院, 北京 100872;
2. 中科院科技政策与管理科学研究所 100190

收稿日期:2014-06-27 修回日期:2014-12-21 出版日期:2016-05-20 发布日期:2016-05-24
通讯作者: 梁循(1965-),男(汉族),北京人,中国人民大学信息学院教授,研究方向:数据挖掘、网络金融、社会计算,E-mail:xliang@ruc.edu.cn. E-mail:xliang@ruc.edu.cn
基金资助:
国家自然科学基金资助项目(71531012,71271211);京东商城电子商务研究项目(413313012);北京市自然科学基金资助项目(4132067);中国人民大学品牌计划项目(10XNI029)

Rater Utility Mechanism Research Based On Online Rating and Comment

SHI Xiao-jing¹, LIANG Xun¹, SUN Xiao-lei²

1. School of Information, Renmin University of China, Beijing 100872, China;
2. Institute of Policy and Management, Chinese Academy of Sciences, Beijing 100190, China

Received:2014-06-27 Revised:2014-12-21 Online:2016-05-20 Published:2016-05-24

摘要/Abstract

摘要： 互联网中对产品和服务的评价越来越受到重视,因为评价能够消除消费者的不确定性,辅助其做出购买决策。大多数在线购物网站中用户的评价包括评级和评论。现有的评价反馈系统和评价研究往往只单独关注评价者之间的评级或评论,而忽略了两者之间的有机统一。评价者的评级并不一定反映评价者的真实评价,很多评价者更倾向于选择评论文本来表达自己的真实情感。本文以从淘宝网抓取的852071条评价数据为基础,通过分析评价者评级和评论之间的不一致性,结合RFM模型,考虑评级和评论两种信息形成的评价效用,提出了RFMA模型来计算评价者的总体评价效用。并据此对好的与不好的评价者进行区分,进一步为消费者的购买决策提供支持。通过对评价者的总体分析可以得出,本文提出的机制更加具有可用性和有效性。

关键词: 评级和评论的不一致性, 评价, 评价者, RFMA

Abstract: Appraisals for products and services are increasingly important on the Internet, as they eliminate consumers' uncertainty, and help them to make purchase decision.Raters' appraisals for products are divided into ratings and comments in most online shopping sites.The existing online reputation system and appraisal studies tend to focus on the user rating or comment respectively, but ignore the organic unification between them.User ratings do not fully reflect users' real evaluation, as they are inclined to express their true feelings by comments.On the basis of the 852071 appraisal captured from Taobao, this paper proposes RFMA model to calculate raters' appraise quality, which combines RFM model and considers two kinds of information containing rating and comment by analyzing the inconsistency of rating and comment.Then the good raters and bad raters are distinguished, and further support for consumer purchase is provided.The proposed RFMA model finds a new mechanism for measuring raters' effectiveness.It can be used as a basement for shopping platform to classify the raters, and provide a new way of thinking to further improve the existing online reputation system.Through analyzing all of the raters, it can be concluded that the mechanism of combining the comments is more available and effective.

Key words: inconsistency of rating and comment, appraise, rater, RFMA

中图分类号:

F272.5

施晓菁, 梁循, 孙晓蕾. 基于在线评级和评论的评价者效用机制研究[J]. 中国管理科学, 2016, 24(5): 149-157.

SHI Xiao-jing, LIANG Xun, SUN Xiao-lei. Rater Utility Mechanism Research Based On Online Rating and Comment[J]. Chinese Journal of Management Science, 2016, 24(5): 149-157.

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基于在线评级和评论的评价者效用机制研究

Rater Utility Mechanism Research Based On Online Rating and Comment

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