Research on Online Stream Media Marketing Strategy Based on Data Mining

Yihan Jia

2022

Abstract

With the rapid development of science and technology and economy in China, the online stream industry relying on the Internet platforms is becoming more and more prosperous. As a new media industry, online stream industry has characteristics such as low entry thresholds, image virtualization, function positioning, and entertainment positioning. This paper uses two machine learning algorithms to analyze the potential relationship between the characteristics of network anchors and the sales volume, and makes descriptive statistical analysis and correlation test with the sales volume. A sales evaluation model is then built to adjust the precision marketing strategy based on these characteristics. It is expected to provide a more effective way to increase the income of enterprises and promote the economic development of online stream industry.

Paper Citation

in Harvard Style

Jia Y. (2022). Research on Online Stream Media Marketing Strategy Based on Data Mining. In Proceedings of the 2nd International Conference on New Media Development and Modernized Education - Volume 1: NMDME; ISBN 978-989-758-630-9, SciTePress, pages 440-444. DOI: 10.5220/0011913500003613

in Bibtex Style

@conference{nmdme22,
author={Yihan Jia},
title={Research on Online Stream Media Marketing Strategy Based on Data Mining},
booktitle={Proceedings of the 2nd International Conference on New Media Development and Modernized Education - Volume 1: NMDME},
year={2022},
pages={440-444},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011913500003613},
isbn={978-989-758-630-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on New Media Development and Modernized Education - Volume 1: NMDME
TI - Research on Online Stream Media Marketing Strategy Based on Data Mining
SN - 978-989-758-630-9
AU - Jia Y.
PY - 2022
SP - 440
EP - 444
DO - 10.5220/0011913500003613
PB - SciTePress