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.
Downloads
How To Cite
"The Role of Machine Learning in Modern Internet Search Algorithms", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 7, page no.f83-f90, July-2024, Available :https://ijnrd.org/papers/IJNRD2407409.pdf
Issue
Volume 9 Issue 7, July-2024
Pages : f83-f90
Other Publication Details
Paper Reg. ID: IJNRD_225754
Published Paper Id: IJNRD2407409
Downloads: 000121268
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
DOI: http://doi.one/10.1729/Journal.40753
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave
Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


Publication Timeline
Article Preview: View Full Paper
Call For Paper
IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.
Indexing In Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar | AI-Powered Research Tool, Microsoft Academic, Academia.edu, arXiv.org, Research Gate, CiteSeerX, ResearcherID Thomson Reuters, Mendeley : reference manager, DocStoc, ISSUU, Scribd, and many more
How to submit the paper?
By Our website
Click Here to Submit Paper Online
Important Dates for Current issue
Paper Submission Open For: August 2025
Current Issue: Volume 10 | Issue 8
Last Date for Paper Submission: Till 31-Aug-2025
Notification of Review Result: Within 1-2 Days after Submitting paper.
Publication of Paper: Within 01-02 Days after Submititng documents.
Frequency: Monthly (12 issue Annually).
Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.
Subject Category: Research Area