Information Retrieval System on the Web: Challenges and Issues

Information Retrieval System on the Web: Challenges and Issues

V. Sathiyamoorthi
Copyright: © 2024 |Pages: 15
DOI: 10.4018/979-8-3693-1722-8.ch006
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Abstract

Many significant advancements in web technology have resulted in the fast expansion of the world wide web (WWW) and web development. WWW employs a variety of technologies to improve communication with internet users, yet user frustrations exist. Adding a new resource and distributing network traffic over one or more resources is one possible solution to this problem. Web caching is a popular strategy for reducing network traffic by storing websites closer to the client site. A proxy server is in charge of web caching, which operates as a middleman between the web server and the web client, reducing latency in page retrieval. This proxy-based web caching solution may be enhanced further to regulate web performance. As a result, this chapter focuses on how to improve the proxy-based web caching system. It optimises the speed of the proxy-based web caching system using web usage mining (WUM).
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Data Mining

The process of collecting non-trivial, implicit, previously undiscovered, and possibly useful information from the raw data included in a big database is known as data mining (DM), sometimes known as knowledge discovery in databases (KDD). To increase the value of the current information system, data mining techniques may be used on a variety of data sources. The use of data mining technologies on high performance client and server systems allows for the analysis of huge databases needed to provide extremely trustworthy findings. Additionally, it is mentioned that relational database engines may be connected to data mining techniques (Jiawei et al., 2006).

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