Customer satisfaction evaluation model of E-commerce website based on tensor analysis

Weiming Yi, Peiwu Dong, Jing Wang

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

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2017 8th International Conference on E-Business, Management and Economics, ICEME 2017
PublisherAssociation for Computing Machinery
Pages6-10
Number of pages5
ISBN (Electronic)9781450353670
DOIs
Publication statusPublished - 27 Oct 2017
Event8th International Conference on E-Business, Management and Economics, ICEME 2017 - Birmingham, United Kingdom
Duration: 27 Oct 201729 Oct 2017

Publication series

NameACM International Conference Proceeding Series

Conference

Conference8th International Conference on E-Business, Management and Economics, ICEME 2017
Country/TerritoryUnited Kingdom
CityBirmingham
Period27/10/1729/10/17

Keywords

  • Customer satisfaction
  • E-commerce
  • Nonnegative tensor factorizations
  • Tensor analysis

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