Cited by 150Information Retrieval and Search BehaviorWeb Data Mining and AnalysisWeb visibility and informetrics

Page Ranking Algorithms: A Survey

Duhan, Neelam, Sharma, A. K., Bhatia, Komal Kumar·2009·2009 IEEE International Advance Computing Conference

Abstract

Web mining is an active research area in present scenario. Web Mining is defined as the application of data mining techniques on the World Wide Web to find hidden information. This hidden information i. e. knowledge could be contained in content of Web pages or in link structure of WWW or in Web server logs. Based upon the type of knowledge, Web mining is usually divided in three categories: Web content mining, Web structure mining and Web usage mining. An application of Web mining can be seen in the case of search engines. Most of the search engines are ranking their search results in response to users' queries to make their search navigation easier. In this paper, a survey of page ranking algorithms and comparison of some important algorithms in context of performance has been carried out.

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Crossref · 10.1109/iadcc.2009.4809246

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  • Ranking algorithms typically sort items according to a relevance score, which is based on the items' popularity.

    “Emulating context-based strategies in selection, ranking algorithms typically sort items according to a relevance score, which is based on the items' popularity 117,118 .”

    From Machine culture (2023) · cites this paper as [118]

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Authors
Duhan, N., Sharma, A. K., & Bhatia, K. K.
Affiliations
J.C. Bose University of Science & Technology, YMCA (IN)
Venue
2009 IEEE International Advance Computing Conference
Publisher
IEEE
Published
2009-03
Pages
1530-1537
OpenAlex
W1969830451
Cited by
150
References
10
Citations by year
2026: 2 · 2025: 1 · 2024: 7 · 2023: 4 · 2022: 9 · 2021: 5 · 2020: 11 · 2019: 9 · 2018: 12 · 2017: 13 · 2016: 9 · 2015: 11 · 2014: 19 · 2013: 15 · 2012: 10
FWCI
5.72
Type
conference paper
Language
en
Open access
closed
Locations
IEEE International Advance Computing Conference (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
  • Physical Sciences › Computer Science › Information Systems › Web Data Mining and Analysis
  • Physical Sciences › Computer Science › Information Systems › Web visibility and informetrics
Keywords
web mining, search engine ranking, web structure mining, web content mining, web usage mining, link analysis, algorithm comparison

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