Research Article
Research on Integration Management of Big Data Application Precision Portrait Marketing Resources based on Cloud and Edge Collaborative Computing
@INPROCEEDINGS{10.4108/eai.17-11-2023.2342626, author={Zhuli Wei and Yuankui Ma}, title={Research on Integration Management of Big Data Application Precision Portrait Marketing Resources based on Cloud and Edge Collaborative Computing}, proceedings={Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India}, publisher={EAI}, proceedings_a={ICSETPSD}, year={2024}, month={1}, keywords={cloud and edge computing big data application accurate portrait marketing integration}, doi={10.4108/eai.17-11-2023.2342626} }- Zhuli Wei
Yuankui Ma
Year: 2024
Research on Integration Management of Big Data Application Precision Portrait Marketing Resources based on Cloud and Edge Collaborative Computing
ICSETPSD
EAI
DOI: 10.4108/eai.17-11-2023.2342626
Abstract
The application of big data accurate portrait marketing is a kind of big data technology and analysis methods, through the collection, collation, analysis of user behavior and preferences and other data, the user segmentation and portrait, in order to achieve more accurate marketing strategy and resource management. The biggest concern here with large-scale data is to provide support for the decision-making process [1].Cloud and edge collaborative computing is a new computing model that combines cloud and edge computing, aiming to improve the utilization efficiency of computing resources and real-time data processing. This paper aims to study how to apply cloud and edge collaborative computing to the integration management of big data application precision portrait marketing resources. The goal of the research is to explore the application of cloud and edge collaborative computing in the management of marketing resources for big data applications, so as to improve the effectiveness of marketing strategies and the efficiency of resource utilization.
