Research on the Construction of an Interactive Design Platform Based on Neural Networks and Precision Push Algorithms

Guardado en:

書目詳細資料
發表在:	International Journal of Cognitive Informatics & Natural Intelligence. vol. 19, no. 1 (2025), p. 1-22
主要作者:	Wang, Yujie
出版:	IGI Global
主題:	Augmented reality Accuracy User behavior Data processing Collaboration Big Data Social networks Algorithms Data analysis Visual effects Cognition & reasoning Wireless networks Design optimization Social organization Video industry Neural networks Virtual reality Artificial intelligence Genetic algorithms Information processing Data collection Informatics
在線閱讀:	Citation/Abstract Full Text - PDF
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

實物特徵
Resumen:	With the development of the internet, virtual interactive design platforms have gradually emerged. Traditional information carriers have shifted from text and images to multimedia content such as audio and video, and the popularity of social networks has driven new changes in the construction of media platforms. More and more platforms are user-centered, combining big data analysis and personalized recommendations to generate video push systems. This paper uses neural network algorithms to study the construction of interactive design platforms and accurate content pushing. It discusses the information processing issues in interactive design and the reasons behind the popularity of platform-based content push. By utilizing big data analysis and user-centered functions, a video interactive design platform was built, enhancing the visual design effect. The research shows that neural network algorithms can effectively improve the visual design of the platform and provide users with more accurate content recommendations.
ISSN:	1557-3958 1557-3966
DOI:	10.4018/IJCINI.383949
Fuente:	Biological Science Database