The Construction of Consumer Buying Behavior Analysis System Based on Data Mining in Social Marketing

Di Zhang, Di Zhang, Dongphil Chun, Minghao Huang

2022

Abstract

This paper takes data mining technology as the core, completes the design and construction of machine learning models such as K-mediod algorithm, Decision Tree algorithm and Apriori algorithm by using Numpy module in Python language environment, and realizes the development of user classification, feature prediction and correlation analysis of consumer purchasing behavior data under social marketing. It combines Django development framework to realize the integration and encapsulation of various functional modules, and finally forms a web-based consumer purchasing behavior analysis system. The system adopts B/S architecture, and completes the deployment of all levels of the system and the planning and design of business logic according to MVC mode. It can facilitate users to discover the influence of social marketing, product attributes, service methods and other factors on consumers’ purchasing behavior through concise and efficient operation, and take reasonable measures to improve social marketing strategies, adjust service methods, enrich service content, and maximize the benefits of enterprises.

Paper Citation

in Harvard Style

Zhang D., Chun D. and Huang M. (2022). The Construction of Consumer Buying Behavior Analysis System Based on Data Mining in Social Marketing. In Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI; ISBN 978-989-758-620-0, SciTePress, pages 382-385. DOI: 10.5220/0011737800003607

in Bibtex Style

@conference{icpdi22,
author={Di Zhang and Dongphil Chun and Minghao Huang},
title={The Construction of Consumer Buying Behavior Analysis System Based on Data Mining in Social Marketing},
booktitle={Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI},
year={2022},
pages={382-385},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011737800003607},
isbn={978-989-758-620-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI
TI - The Construction of Consumer Buying Behavior Analysis System Based on Data Mining in Social Marketing
SN - 978-989-758-620-0
AU - Zhang D.
AU - Chun D.
AU - Huang M.
PY - 2022
SP - 382
EP - 385
DO - 10.5220/0011737800003607
PB - SciTePress