Proceedings of the 2021 3rd International Conference on Economic Management and Cultural Industry (ICEMCI 2021)

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Modelling Time Series Customer Preference Based on E-commerce Website

Authors
Huimin Jiang1, Chunsheng Li1, Farzad Sabetzadeh2, *
1Department of Decision Sciences, School of Business, Macau University of Science and Technology, Macau, China
2Faculty of Business, City University of Macau, Macau, China
*Corresponding author. Email: farzad@cityu.mo
Corresponding Author
Farzad Sabetzadeh
Available Online 15 December 2021.
DOI
10.2991/assehr.k.211209.525How to use a DOI?
Keywords
time series customer preference; e-commerce website; opinion mining; COA based DENFIS
Abstract

In the research of customer preference for products, we need to collect enough customer data first, and then we can analyze it to realize the effective establishment of customer preference model. Although a reasonable model can be obtained, the customer’s own preference presents a dynamic state, which changes disorderly with the change of time. This requires a systematic analysis of the time series data of customer preference based on different time periods, so as to complete the modeling of customer preference. Through research, this paper proposes a new time series customer preference modeling method, which can effectively process and analyze online customer comment data of e-commerce websites, including opinion mining and chaos optimization algorithm (COA) based dynamic evolutionary neuro fuzzy inference system (DENFIS). Finally, a case verification method is adopted, and a hair dryer is selected to verify the effectiveness and rationality of the method. The comparison results show that the proposed COA based DENFIS approach performs better than K-means-based ANFIS, fuzzy c-means-based ANFIS, subtractive cluster-based ANFIS and DENFIS in terms of mean absolute percentage error.

Copyright
© 2021 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the 2021 3rd International Conference on Economic Management and Cultural Industry (ICEMCI 2021)
Series
Advances in Economics, Business and Management Research
Publication Date
15 December 2021
ISBN
978-94-6239-483-4
ISSN
2352-5428
DOI
10.2991/assehr.k.211209.525How to use a DOI?
Copyright
© 2021 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

risenwbib
TY  - CONF
AU  - Huimin Jiang
AU  - Chunsheng Li
AU  - Farzad Sabetzadeh
PY  - 2021
DA  - 2021/12/15
TI  - Modelling Time Series Customer Preference Based on E-commerce Website
BT  - Proceedings of the 2021 3rd International Conference on Economic Management and Cultural Industry (ICEMCI 2021)
PB  - Atlantis Press
SP  - 3222
EP  - 3227
SN  - 2352-5428
UR  - https://doi.org/10.2991/assehr.k.211209.525
DO  - 10.2991/assehr.k.211209.525
ID  - Jiang2021
ER  -