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Information Retrieval System on the Web: Challenges and Issues

Information Retrieval System on the Web: Challenges and Issues

V. Sathiyamoorthi
Copyright: © 2024 |Pages: 15
ISBN13: 9798369317228|ISBN13 Softcover: 9798369347911|EISBN13: 9798369317235
DOI: 10.4018/979-8-3693-1722-8.ch006
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MLA

Sathiyamoorthi, V. "Information Retrieval System on the Web: Challenges and Issues." Sustainable Development in AI, Blockchain, and E-Governance Applications, edited by Rajeev Kumar, et al., IGI Global, 2024, pp. 93-107. https://doi.org/10.4018/979-8-3693-1722-8.ch006

APA

Sathiyamoorthi, V. (2024). Information Retrieval System on the Web: Challenges and Issues. In R. Kumar, A. Abdul Hamid, N. Binti Ya’akub, H. Sharan, & S. Kumar (Eds.), Sustainable Development in AI, Blockchain, and E-Governance Applications (pp. 93-107). IGI Global. https://doi.org/10.4018/979-8-3693-1722-8.ch006

Chicago

Sathiyamoorthi, V. "Information Retrieval System on the Web: Challenges and Issues." In Sustainable Development in AI, Blockchain, and E-Governance Applications, edited by Rajeev Kumar, et al., 93-107. Hershey, PA: IGI Global, 2024. https://doi.org/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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