Paper Title

The Role of Machine Learning in Modern Internet Search Algorithms

Article Identifiers

Registration ID: IJNRD_225754

Published ID: IJNRD2407409

DOI: http://doi.one/10.1729/Journal.40753

Authors

Nisanth G , V.Vishnu priya , Pragatheeswari E , Dhanushree D , Sivakumar P

Keywords

Keywords—SVM (Support Vector Machines)-Reinforcement Learning-CNN (Convolutional Neural Networks)-NLP (Natural Language Processing)-Machine Learning

Abstract

The way search engines retrieve and rank content has changed dramatically in recent years because to the incorporation of machine learning into internet search algorithms. This study explores the function of machine learning in contemporary search engines, emphasizing how it affects search relevance, accuracy, and customization. The study highlights the improvements in comprehending user intent and providing customized search results by looking at several machine learning models and their implementations in search engines. A comparison between machine learning and conventional search methods is provided, highlighting the latter's better performance. The results highlight how machine learning has the power to revolutionize internet search by providing users with more accurate and contextually relevant results.

How To Cite (APA)

Nisanth G, V.Vishnu priya, Pragatheeswari E, Dhanushree D, & Sivakumar P (July-2024). The Role of Machine Learning in Modern Internet Search Algorithms. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(7), f83-f90. http://doi.one/10.1729/Journal.40753

Citation

Issue

Volume 9 Issue 7, July-2024

Pages : f83-f90

Other Publication Details

Paper Reg. ID: IJNRD_225754

Published Paper Id: IJNRD2407409

Downloads: 000121994

Research Area: Science & Technology

Country: Knageyam,tirupur, Tamilnadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2407409.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2407409

Crossref DOI: http://doi.one/10.1729/Journal.40753

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

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Subject Category: Research Area

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