Proceedings of the 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022)

Research on Using Market Segmentation to do Recommendation in E-commerce

Authors
Bohan Zhaozhaobohanmail@qq.com
School of Information Management and Engineering, Zhejiang University of Finance and Economics, Hangzhou, Zhejiang, China, 310018
Corresponding Author
Available Online 26 March 2022.
DOI
10.2991/aebmr.k.220307.492How to use a DOI?
Keywords
Marketing segmentation; Clustering; K-means algorithm; Recommendation; E-commerce
Abstract

In the background of the digital period, more and more e-commerce companies have emerged. However, the competition also becomes more intense than before own to a large number of rivals. In this case, it is important to offer the customers recommendation to boost their satisfaction and loyalty. This work will use marketing segmentation as a method to predict the behavior of each customer, and the recommendation system will provide personalized recommendations based on the results. This paper exhibited the process of market segmentation and the K-means algorithm is introduced as the main part to do market segmentation. And the market was segregated based on several characteristics. In addition, the author discussed how to do recommendations by using the result of market segmentation. As a result, two advantages were exhibited: one is boosting the advertising efficiency, another is improving service. Therefore, it could be emphasized that market segmentation completed the recommendation system.

Copyright
© 2022 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 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022)
Series
Advances in Economics, Business and Management Research
Publication Date
26 March 2022
ISBN
978-94-6239-554-1
ISSN
2352-5428
DOI
10.2991/aebmr.k.220307.492How to use a DOI?
Copyright
© 2022 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

TY  - CONF
AU  - Bohan Zhao
PY  - 2022
DA  - 2022/03/26
TI  - Research on Using Market Segmentation to do Recommendation in E-commerce
BT  - Proceedings of the 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022)
PB  - Atlantis Press
SP  - 3017
EP  - 3022
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.220307.492
DO  - 10.2991/aebmr.k.220307.492
ID  - Zhao2022
ER  -