Enhancing Web Browsing Experience Using User Perception Knowledge Through The Construction Of An Indigenous Occurrence Warehouse

Authors

  • D. Saravanan Faculty of Operations & IT, ICFAI Business School (IBS), Hyderabad,The ICFAI Foundation for Higher Education (IFHE) (Deemed to be university u/s 3 of the UGC Act 1956) Hyderabad-India.
  • V. Rakesh Datta Associate Professor, Department of Computer Science & Engineering (AI&ML), Geethanjali College of Engineering and Technology, Hyderabad.
  • Dr.J Kalavani Associate professors, Department of Computing Technologies, SRM Institute of Science and Technology, Kattankulathur, Chennai.
  • Vijayalakshmi C Handaragali Assistant Professor, School of Computing and information Technology, REVA University, Bangaluru
  • Dr.Dennis Joseph Faculty of Operations & IT, ICFAI Business School (IBS), Hyderabad,The ICFAI Foundation for Higher Education (IFHE) (Deemed to be university u/s 3 of the UGC Act 1956) Hyderabad-India.
  • Dr. Siva Krishna Faculty of Operations & IT, ICFAI Business School (IBS), Hyderabad,The ICFAI Foundation for Higher Education (IFHE) (Deemed to be university u/s 3 of the UGC Act 1956) Hyderabad-India.
  • Dr. S Kaushik Associate Professor, Department of Computer Science & Engineering (AI&ML), Geethanjali College of Engineering and Technology, Hyderabad.

Keywords:

User search frequency, online examination, users patterns, Global contents, Users generalized content.

Abstract

Today, users' information is increasingly converted into digital content. Personal information, knowledge extraction, advertisements, travel details, and more are all accessed through web extraction. Any knowledge available digitally today is based on users' personal searches, which vary from one user to another. Whenever a user attempts to extract information from the stored pool, the extraction is based on the content available on the World Wide Web and the specific search performed by the user. By combining these two types of extraction, users can retrieve the information they need. Based on users' search frequency, online examination procedures can identify their patterns. This enables the system to suggest relevant searches the next time a user performs a query, thereby improving the search process. The proposed research work demonstrates how this search process can be aligned with both global content and users' generalized content. The examination presented in this work introduces methods that enhance users' investigation functions effectively.

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How to Cite

Saravanan, D., V. Rakesh Datta, Dr.J Kalavani, Vijayalakshmi C Handaragali, Dr.Dennis Joseph, Dr. Siva Krishna, and Dr. S Kaushik. 2025. “Enhancing Web Browsing Experience Using User Perception Knowledge Through The Construction Of An Indigenous Occurrence Warehouse”. Metallurgical and Materials Engineering, May, 97-108. https://metall-mater-eng.com/index.php/home/article/view/1560.

Issue

Vol. 31 No. 5 (2025)

Section

Research

License

Copyright (c) 2025 D. Saravanan, V. Rakesh Datta, Dr.J Kalavani, Vijayalakshmi C Handaragali, Dr.Dennis Joseph, Dr. Siva Krishna, Dr. S Kaushik

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