Whisper of Website Object Preparation: A Systematic Literature Review on Web Prefetching and Precaching

The present systematic literature review explores different methods of web prefetching and precaching to improve website performance, which examines relevant studies related to the decrease of overall latency and improvement of user experience through client-side enhancements. The present paper assesses conventional techniques in web prefetching, such as ML-based algorithms, AI-driven caching, and hybrid algorithms combined with data mining technology (DMT). The assessment focuses on key metrics such as load time, hit rate, and user satisfaction. The results indicate that AI, ML, and DMT, are effective techniques for prefetching and precaching, which indicates a notable enhancement in the overall performance. In addition, the survey highlights how these high-performing methods can be useful for both publicly accessible websites and internal websites accessed through an intranet, aiming to uphold user satisfaction and website performance. Future studies are anticipated to investigate how they can be used in private website supporting internal business processes to improve the quality of business operations.