[Purpose/significance] Aiming at the Chinese customer reviews on the Internet,the paper gives a review credibility ranking model,for auxiliary consumer decision making.[Method/process] From two aspects of the features of form and content on online reviews,extracts seven index attributes effecting the usefulness of online reviews and gives a quantitative calculation. Using the fuzzy analytic hierarchy process to determine the index weight,with the improved TOPSIS analysis method to construct the online reviews useful computation and sorting,online reviews credibility index system and ranking model is constructed.[Result/conclusion] Compared with the original review of the website,the review of the model is more scientific and reasonable, providing a kind of confidence ranking method for the Chinese Web customer reviews to provide a balanced review of the objective information and semantic features.
Zhang Yanfeng
,
Li He
,
Zhai Qian
,
Peng Lihui
. Research on the Usefulness of Online Review Based on Fuzzy TOPSIS Analysis: A Case Study of Amazon's Mobile Phone Review[J]. Library and Information Service, 2016
, 60(13)
: 109
-117,125
.
DOI: 10.13266/j.issn.0252-3116.2016.13.014
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