基于网络客户评论的产品口碑排序方法

发布时间：2018-04-12 13:18

本文选题：口碑排序 + 对比投票　；参考：《运筹与管理》2017年11期

【摘要】：电子商务时代,产品的网络口碑已成为消费者做购买决策的重要参考依据。本文利用客户评论信息,依据产品的评分及产品之间的对比投票数据,提出了一个新的产品口碑排序方法。首先利用产品两两间的对比投票计算各自的相对口碑,再采用贝叶斯平均方法修正原始客户评分,然后将二者结合得到产品的总口碑,进而对产品的网络口碑进行排序。实验数据采自第三方点评网站中的产品对比投票数据,实验结果表明本文提出的产品口碑排序方法具有较高的支持度,且与产品销量排序的相关性也很高。
[Abstract]:In the era of e-commerce, the online word-of-mouth of products has become an important reference for consumers to make purchase decisions.In this paper, a new method of product word-of-mouth ranking is proposed based on the customer comment information and the product score and voting data.First, the relative word-of-mouth is calculated by comparing voting between two products, then the original customer score is revised by Bayesian average method, then the total word-of-mouth of the product is obtained by combining the two methods, and then the network word-of-mouth of the product is sorted.The experimental data are collected from the product comparison voting data of the third-party review website. The experimental results show that the proposed method has a high degree of support and has a high correlation with the ranking of product sales.
【作者单位】：大连理工大学系统工程研究所;
【基金】：国家自然科学基金项目(71471028,71671024) 教育部人文社科项目(15YJCZH198) 辽宁省社科规划基金重点项目(L17AGL012) 大连市社科联重点项目(2016dlskzd007) 中央高校基本科研业务费(DUT17JC37)
【分类号】：C931.1

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