Building Search Engine Using Machine Learning

J. David Sukeerthi Kumar, Kanduri Yaswanth, Buddabai Gari Mukhtar, Bandapalle Viswasai, Dudekula Pedda Moulali, Bilakalaguduru

2025

Abstract

This paper provides a novel methodology for creating a search engine that incorporates traditional ranking techniques with modern machine learning methods: Traditional search engines use link analysis and keyword matching to a great extent, which makes the complexity of modern, unstructured online data a challenge for them to manage. Our proposed solution aims to overcome these methods by employing a combination of classifiers such as Support Vector Machines (SVM), Artificial Neural Networks (ANN), and bagging and boosting methods (XGBoost). Other applications of NLP include semantic interpretation, feature extraction, and data cleansing. According to experimental evaluations, the hybrid technique dramatically boosts search relevancy, precision, and user pleasure. To help future developments, such as transformer-based models, reinforcement learning for real time adaption for dynamic web environments, the study also aims to give a scalable and adaptable solution for dynamic problems.

Paper Citation

in Harvard Style

Kumar J., Yaswanth K., Mukhtar B., Viswasai B., Moulali D. and Bilakalaguduru. (2025). Building Search Engine Using Machine Learning. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 617-621. DOI: 10.5220/0013939100004919

in Bibtex Style

@conference{icrdicct`2525,
author={J. Kumar and Kanduri Yaswanth and Buddabai Mukhtar and Bandapalle Viswasai and Dudekula Moulali and Bilakalaguduru},
title={Building Search Engine Using Machine Learning},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={617-621},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013939100004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Building Search Engine Using Machine Learning
SN - 978-989-758-777-1
AU - Kumar J.
AU - Yaswanth K.
AU - Mukhtar B.
AU - Viswasai B.
AU - Moulali D.
AU - Bilakalaguduru.
PY - 2025
SP - 617
EP - 621
DO - 10.5220/0013939100004919
PB - SciTePress