Applying Predictive Prefetching Using Deep Learning And NLP To Shorten Web Page Loading Times

In response to the growing demand for seamless user experiences in web applications, predictive prefetching based on user interaction has become a crucial technique to alleviate perceived latency. This paper presents an overview of predictive prefetching based on user interaction for web applications, elucidating essential concepts such as user interaction analysis, prediction algorithms, resource preloading, adaptability, and learning. The primary objective is to reduce perceived latency and improve the responsiveness of web applications by strategically preloading resources, thereby optimizing the user experience.