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

Author(s)	Aarti Sehwag, Akshay Prabhat Mishra, Dhiraj Kargeti, Dhruv Pahadia, Gaurav Mangal
Country	India
Abstract	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.
Keywords	N-Gram, Tokenization, Prefetching, Sequential, Predict, User Navigation Patterns
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 6, Issue 2, March-April 2024
Published On	2024-03-23
Cite This	Applying Predictive Prefetching Using Deep Learning And NLP To Shorten Web Page Loading Times - Aarti Sehwag, Akshay Prabhat Mishra, Dhiraj Kargeti, Dhruv Pahadia, Gaurav Mangal - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.15447
DOI	https://doi.org/10.36948/ijfmr.2024.v06i02.15447
Short DOI	https://doi.org/gtn3xg

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