Cross-border Consumer Research Based on Cluster Analysis of Aliexpress Behavioral Data

DOI

10.2991/ammsa-17.2017.46How to use a DOI?

Keywords

cross-border e-commerce; behavioral data; consumer research

Abstract

This article selects the search data of Aliexpress cross-border e-commerce platform in wedding dress industry. The behavior of consumers will leave traces on the platform. Usually expressed as search index, purchase index and the number of compared products. Through the analysis of correlation, regression and cluster, discover the relationship among consumer behavior of search, comparative and purchase. Consumer is divided into three categories by the cluster analysis of behavior data. The corresponding recommendations will be given to each categories.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yilun Wu
AU  - Lei Yao
PY  - 2017/05
DA  - 2017/05
TI  - Cross-border Consumer Research Based on Cluster Analysis of Aliexpress Behavioral Data
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
PB  - Atlantis Press
SP  - 214
EP  - 217
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-17.2017.46
DO  - 10.2991/ammsa-17.2017.46
ID  - Wu2017/05
ER  -