International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 2 March-April 2024 Submit your research before last 3 days of April to publish your research paper in the issue of March-April.

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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