Article

Web page ranking using link attributes

Authors:

Ricardo Baeza-Yates,

Emilio DavisAuthors Info & Claims

WWW Alt. '04: Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters

Pages 328 - 329

https://doi.org/10.1145/1013367.1013459

Published: 19 May 2004 Publication History

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Abstract

We present a variant of PageRank, WLRank, that considers different Web page attributes to give more weight to some links. Our evaluation shows that the precision of the answers can improve significantly.

References

[1]

S. Brin and L. Page. The anatomy of a large-scale hypertextual Web search engine. In 7th WWW Conference, Brisbane, Australia, April 1998.

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[2]

C. Ding, X. He, P. Husbands, H. Zha, and H. Simon. Pagerank, hits and a unified framework for link analysis. LBNL Tech Report 49372, 2001-2002.

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Cited By

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Alani AAl-Azzawi A(2025)Optimizing web page retrieval performance with advanced query expansion: leveraging ChatGPT and metadata-driven analysisThe Journal of Supercomputing10.1007/s11227-025-07008-081:4Online publication date: 3-Mar-2025
https://doi.org/10.1007/s11227-025-07008-0
Gupta S(2022)Ranking for Better Indexing in the Hidden WebDark Web Pattern Recognition and Crime Analysis Using Machine Intelligence10.4018/978-1-6684-3942-5.ch012(177-189)Online publication date: 13-May-2022
https://doi.org/10.4018/978-1-6684-3942-5.ch012
Zhao JWu P(2022)A Hybrid Page Ranking Algorithm Based on User Behavior2022 7th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA)10.1109/ICCCBDA55098.2022.9778295(177-184)Online publication date: 22-Apr-2022
https://doi.org/10.1109/ICCCBDA55098.2022.9778295
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Index Terms

Web page ranking using link attributes
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing systems and tools
2. Information systems
  1. World Wide Web

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Information

Published In

WWW Alt. '04: Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters

May 2004

532 pages

ISBN:1581139128

DOI:10.1145/1013367

Conference Chairs:
Stuart Feldman
IBM Research
,
Mike Uretsky
New York University
,
Program Chairs:
Marc Najork
Microsoft Research
,
Craig Wills
Worcester Polytechnic Institute

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 May 2004

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WWW04

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WWW04: The 2004 World Wide Web Conference ( in conjunction with ACM Conference on Electronic Commerce [EC'04])

May 19 - 21, 2004

NY, New York, USA

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Alani AAl-Azzawi A(2025)Optimizing web page retrieval performance with advanced query expansion: leveraging ChatGPT and metadata-driven analysisThe Journal of Supercomputing10.1007/s11227-025-07008-081:4Online publication date: 3-Mar-2025
https://doi.org/10.1007/s11227-025-07008-0
Gupta S(2022)Ranking for Better Indexing in the Hidden WebDark Web Pattern Recognition and Crime Analysis Using Machine Intelligence10.4018/978-1-6684-3942-5.ch012(177-189)Online publication date: 13-May-2022
https://doi.org/10.4018/978-1-6684-3942-5.ch012
Zhao JWu P(2022)A Hybrid Page Ranking Algorithm Based on User Behavior2022 7th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA)10.1109/ICCCBDA55098.2022.9778295(177-184)Online publication date: 22-Apr-2022
https://doi.org/10.1109/ICCCBDA55098.2022.9778295
Sharma PYadav DDumka A(2022)Improve the Response Time with Content Mining based Web Page Ranking2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES)10.1109/CISES54857.2022.9844368(46-52)Online publication date: 20-May-2022
https://doi.org/10.1109/CISES54857.2022.9844368
Baker MAkcayol M(2022)A novel web ranking algorithm based on pages multi-attributeInternational Journal of Information Technology10.1007/s41870-021-00833-514:2(739-749)Online publication date: 21-Jan-2022
https://doi.org/10.1007/s41870-021-00833-5
Ali FKhusro S(2021)Content and link-structure perspective of ranking webpagesComputer Science Review10.1016/j.cosrev.2021.10039740:COnline publication date: 1-May-2021
https://dl.acm.org/doi/10.1016/j.cosrev.2021.100397
Manohar EAnandha Banu EShalini Punithavathani D(2021)Composite analysis of web pages in adaptive environment through Modified Salp Swarm algorithm to rank the web pagesJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-021-03033-y13:5(2585-2600)Online publication date: 24-Jul-2021
https://doi.org/10.1007/s12652-021-03033-y
Jain UMishra AJaganathan BShukla P(2021)Study and analysis of category based PageRank methodWireless Networks10.1007/s11276-021-02617-yOnline publication date: 15-Apr-2021
https://doi.org/10.1007/s11276-021-02617-y
Azad HDeepak AAzad A(2021)LOD search engine: A semantic search over linked dataJournal of Intelligent Information Systems10.1007/s10844-021-00687-059:1(71-91)Online publication date: 19-Nov-2021
https://doi.org/10.1007/s10844-021-00687-0
Sharma PYadav D(2020)Incremental Refinement of Page Ranking of Web PagesInternational Journal of Information Retrieval Research10.4018/IJIRR.202007010410:3(57-73)Online publication date: 1-Jul-2020
https://doi.org/10.4018/IJIRR.2020070104
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Content and link-structure perspective of ranking webpages: A review

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