Customer Satisfaction Evaluation Model of E-commerce Website based on Tensor Analysis

被引:0
作者
Yi, Weiming [1 ]
Dong, Peiwu [1 ]
Wang, Jing [2 ]
机构
[1] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
[2] Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China
来源
PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON E-BUSINESS, MANAGEMENT AND ECONOMICS (ICEME 2017) | 2015年
关键词
Tensor analysis; Customer satisfaction; E-commerce; Nonnegative tensor factorizations;
D O I
10.1145/3157754.3157766
中图分类号
F [经济];
学科分类号
02 ;
摘要
Taking the e-commerce website as an example and combing with tensor analysis theory, a novel evaluation model of customer satisfaction on the website is established in higher order space. Firstly, the model takes use of tensor analysis to expand the index system of customer satisfaction with a high-order tensor. Then the customer satisfaction evaluation model is given by means of high order subspace analysis based on non-negative Tucker decomposition. Finally, the model training process and testing results are given with the data in real applications. Experimental results show that the model has feasibility and performs well.
引用
收藏
页码:6 / 10
页数:5
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