TY - GEN
T1 - Customer satisfaction evaluation model of E-commerce website based on tensor analysis
AU - Yi, Weiming
AU - Dong, Peiwu
AU - Wang, Jing
N1 - Publisher Copyright:
© 2017 Copyright is held by the owner/author(s).
PY - 2017/10/27
Y1 - 2017/10/27
N2 - 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.
AB - 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.
KW - Customer satisfaction
KW - E-commerce
KW - Nonnegative tensor factorizations
KW - Tensor analysis
UR - http://www.scopus.com/inward/record.url?scp=85045648977&partnerID=8YFLogxK
U2 - 10.1145/3157754.3157766
DO - 10.1145/3157754.3157766
M3 - Conference contribution
AN - SCOPUS:85045648977
T3 - ACM International Conference Proceeding Series
SP - 6
EP - 10
BT - 2017 8th International Conference on E-Business, Management and Economics, ICEME 2017
PB - Association for Computing Machinery
T2 - 8th International Conference on E-Business, Management and Economics, ICEME 2017
Y2 - 27 October 2017 through 29 October 2017
ER -