A trustworthy sort method for shopping customer reviews based on correlation degree with product features

Chun Ling Ding*, Guo Sun Zeng, Wei Wang, Ting Ting Huang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Nowadays, customers can freely express shopping thoughts and reviews in e-commerce web sites. It results that people may be lost in the massive shopping reviews and cannot distinguish trusted reviews. This paper carries out a study on the trustworthy reviews in e-commerce web sites. We use the technique of words similarity to analyze the correlation degree between product features and customer reviews contents, and then propose a trustworthy sort method for shopping customer reviews.

Original languageEnglish
Title of host publicationMachine Tool Technology, Mechatronics and Information Engineering
EditorsZhongmin Wang, Liangyu Guo, Jianming Tan, Dongfang Yang, Dongfang Yang, Kun Yang, Dongfang Yang, Dongfang Yang, Dongfang Yang
PublisherTrans Tech Publications Ltd
Pages5542-5547
Number of pages6
ISBN (Electronic)9783038352464
DOIs
StatePublished - 2014
Externally publishedYes
EventInternational Conference on Machine Tool Technology and Mechatronics Engineering, ICMTTME 2014 - Guilin, China
Duration: 22 Jun 201423 Jun 2014

Publication series

NameApplied Mechanics and Materials
Volume644-650
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

ConferenceInternational Conference on Machine Tool Technology and Mechatronics Engineering, ICMTTME 2014
Country/TerritoryChina
CityGuilin
Period22/06/1423/06/14

Keywords

  • Correlation degree
  • Customer reviews
  • Product releasing
  • Trustworthy sort

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