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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM21529

A Webpage Ranking Search Engine with SEO Suggesters

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM21529

Volume:

7 |

5 |

May 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SD

Shivani Dubey

VS

Vikas Singhal

AKS

Ajay Kumar Sahu

AKS

Amit Kumar Singh

KS

Kushal Singh

UK

Ujjwal Kumar

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Abstract

Search engines have become an integral part of our daily lives due to the exponential growth of the internet. The ability of a search engine to provide users with relevant and reliable information depends on the quality of its search results. In this paper, we introduce a new search engine that integrates webpage ranking with SEO suggesters. Our search engine takes into account essential ranking factors, such as

KEYWORDS

relevance page authority and link popularity to improve webmasters’ online visibility and search engine rankings

Cite This Article

Shivani Dubey, Vikas Singhal, Ajay Kumar Sahu, Amit Kumar Singh, Kushal Singh, Ujjwal Kumar, "A Webpage Ranking Search Engine with SEO Suggesters," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 5, May 2023. https://doi.org/10.55041/IJSREM21529

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Publication Date

5/18/2023

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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1

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5

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This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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