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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| Format: | Article |
| Language: | English |
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Qubahan
2021-07-01
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| Series: | Qubahan Academic Journal |
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| 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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| format | Article |
| id | doaj-art-87be20d7a46d4550bccf828cb32fa8e5 |
| 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 |