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Study on the Usefulness Ranking Model of Mobile O2O Online Reviews from the Perspective of User's Information Demand:Taking an Example of Meituan
Received date: 2015-10-25
Revised date: 2015-11-11
Online published: 2015-12-05
[Purpose/significance] In order to accurately find out the useful online comments to meet users' information needs, this paper ranks the users' online reviews in accordance with the usefulness and helps users make consumption decisions. [Method/process] Firstly, through the literature research and expert consultation, combined with the characteristics of mobile O2O users online reviews, this paper selects 8 indicators which affect the usefulness of mobile O2O online reviews, and weights them with the fuzzy AHP method. Then it quantifies them with the quantitative method, calculates and sorts them through the weighted gray correlation analysis method, and builds a usefulness ranking model. Finally, the online reviews data of Meituan products are collected and compared with the ranking results of Meituan original reviews, to verify the feasibility and the scientific nature of the method.[Result/conclusion] The experimental results show that the top online reiews ranked with the usefulness ranking model of mobile O2O online reviews, contain large amount of information and refer to multiple dimensions of products or services, which can better meet the users' personalized information needs and provide with greater reference value for consumer decisions.
Guo Shunli , Zhang Xiangxian , Li Zhongmei . Study on the Usefulness Ranking Model of Mobile O2O Online Reviews from the Perspective of User's Information Demand:Taking an Example of Meituan[J]. Library and Information Service, 2015 , 59(23) : 85 -93 . DOI: 10.13266/j.issn.0252-3116.2015.23.013
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