Digital Media Trend Prediction and Future Content Creation Direction Research-Based on Big Data Analysis and Machine Learning
Based on big data analysis and machine learning in digital media trend prediction and future content creation direction fusion effect is poor, no promotion based on big data analysis and machine learning in digital media trend prediction and future content creation direction integration effect and big data analysis effect, so this paper is based on big data analysis and machine learning in digital media trend prediction and future direction of content creation fusion and development in-depth research. Based on the integration and development of big data analysis and digital media trend prediction and future content creation direction in machine learning, First, estimate the development layout of digital media trend prediction and future content creation direction based on big data analysis and machine learning, Using the target detection algorithm to identify the integrated data based on the digital data trend prediction and the future content creation direction in big data analysis and machine learning, Then build a digital feature reconstruction model based on digital media trend prediction and future content creation direction in big data analysis and machine learning, Using algorithm construction to realize the fusion perception of digital media trend prediction and future content creation direction based on big data analysis and machine learning. The simulation experiment results show that the proposed algorithm can effectively improve the effect and satisfaction of digital media trend prediction and future content creation direction fusion based on big data analysis and machine learning, which has certain practical value.
Authors
- Cong Zhou (ORCID: https://orcid.org/0009-0008-4235-8701)
Institutions
- Hang Seng University of Hong Kong (HK)
Publication Details
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1109/ichora65333.2025.11017286
- Primary Topic
- Diverse Topics in Contemporary Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00