Web Pages Ranking Algorithms: A Survey

Due to the daily expansion of the web, the amount of information has increased significantly. Thus, the need for retrieving relevant information has also increased. In order to explore the internet, users depend on various search engines. Search engines face a significant challenge in returning the...

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Main Author: Ayad Abdulrahman
Format: Article
Language:English
Published: Qubahan 2021-07-01
Series:Qubahan Academic Journal
Subjects:
Online Access:https://journal.qubahan.com/index.php/qaj/article/view/79
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author Ayad Abdulrahman
author_facet Ayad Abdulrahman
author_sort Ayad Abdulrahman
collection DOAJ
description Due to the daily expansion of the web, the amount of information has increased significantly. Thus, the need for retrieving relevant information has also increased. In order to explore the internet, users depend on various search engines. Search engines face a significant challenge in returning the most relevant results for a user's query. The search engine's performance is determined by the algorithm used to rank web pages, which prioritizes the pages with the most relevancy to appear at the top of the result page. In this paper, various web page ranking algorithms such as Page Rank, Time Rank, EigenRumor, Distance Rank, SimRank, etc. are analyzed and compared based on some parameters, including the mining technique to which the algorithm belongs (for instance, Web Content Mining, Web Structure Mining, and Web Usage Mining), the methodology used for ranking web pages, time complexity (amount of time to run an algorithm), input parameters (parameters utilized in the ranking process such as InLink, OutLink, Tag name, Keyword, etc.), and the result relevancy to the user query.
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institution Kabale University
issn 2709-8206
language English
publishDate 2021-07-01
publisher Qubahan
record_format Article
series Qubahan Academic Journal
spelling doaj-art-87be20d7a46d4550bccf828cb32fa8e52025-02-03T10:12:46ZengQubahanQubahan Academic Journal2709-82062021-07-011310.48161/qaj.v1n3a7979Web Pages Ranking Algorithms: A SurveyAyad Abdulrahman0Information Technology Department, Duhok Polytechnic University, Computer Science Department, University of Zakho, Zakho, Iraq Due to the daily expansion of the web, the amount of information has increased significantly. Thus, the need for retrieving relevant information has also increased. In order to explore the internet, users depend on various search engines. Search engines face a significant challenge in returning the most relevant results for a user's query. The search engine's performance is determined by the algorithm used to rank web pages, which prioritizes the pages with the most relevancy to appear at the top of the result page. In this paper, various web page ranking algorithms such as Page Rank, Time Rank, EigenRumor, Distance Rank, SimRank, etc. are analyzed and compared based on some parameters, including the mining technique to which the algorithm belongs (for instance, Web Content Mining, Web Structure Mining, and Web Usage Mining), the methodology used for ranking web pages, time complexity (amount of time to run an algorithm), input parameters (parameters utilized in the ranking process such as InLink, OutLink, Tag name, Keyword, etc.), and the result relevancy to the user query. https://journal.qubahan.com/index.php/qaj/article/view/79Search EnginesRanking AlgorithmsWCMWeb MiningHITSCrawler
spellingShingle Ayad Abdulrahman
Web Pages Ranking Algorithms: A Survey
Qubahan Academic Journal
Search Engines
Ranking Algorithms
WCM
Web Mining
HITS
Crawler
title Web Pages Ranking Algorithms: A Survey
title_full Web Pages Ranking Algorithms: A Survey
title_fullStr Web Pages Ranking Algorithms: A Survey
title_full_unstemmed Web Pages Ranking Algorithms: A Survey
title_short Web Pages Ranking Algorithms: A Survey
title_sort web pages ranking algorithms a survey
topic Search Engines
Ranking Algorithms
WCM
Web Mining
HITS
Crawler
url https://journal.qubahan.com/index.php/qaj/article/view/79
work_keys_str_mv AT ayadabdulrahman webpagesrankingalgorithmsasurvey