Web structure, dynamics and page quality

Ricardo Baeza-Yates, Felipe Saint-Jean, Carlos Castillo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

31 Citations (Scopus)

Abstract

This paper is aimed at the study of quantitative measures of the relation between Web structure, page recency, and quality of Web pages. Quality is studied using different link-based metrics considering their relationship with the structure of the Web and the last modification time of a page. We show that, as expected, Pagerank is biased against new pages. As a sub product we propose a Pagerank variant that includes page recency into account and we obtain information on how recency is related with Web structure.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages117-130
Number of pages14
Volume2476
ISBN (Print)3540441581, 9783540441588
DOIs
Publication statusPublished - 2002
Externally publishedYes
Event9th International Symposium on String Processing and Information Retrieval, SPIRE 2002 - Lisbon, Portugal
Duration: 11 Sep 200213 Sep 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2476
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other9th International Symposium on String Processing and Information Retrieval, SPIRE 2002
CountryPortugal
CityLisbon
Period11/9/0213/9/02

Fingerprint

World Wide Web
Websites
PageRank
Biased
Metric

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Baeza-Yates, R., Saint-Jean, F., & Castillo, C. (2002). Web structure, dynamics and page quality. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2476, pp. 117-130). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2476). Springer Verlag. https://doi.org/10.1007/3-540-45735-6_12

Web structure, dynamics and page quality. / Baeza-Yates, Ricardo; Saint-Jean, Felipe; Castillo, Carlos.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2476 Springer Verlag, 2002. p. 117-130 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2476).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Baeza-Yates, R, Saint-Jean, F & Castillo, C 2002, Web structure, dynamics and page quality. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 2476, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2476, Springer Verlag, pp. 117-130, 9th International Symposium on String Processing and Information Retrieval, SPIRE 2002, Lisbon, Portugal, 11/9/02. https://doi.org/10.1007/3-540-45735-6_12
Baeza-Yates R, Saint-Jean F, Castillo C. Web structure, dynamics and page quality. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2476. Springer Verlag. 2002. p. 117-130. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/3-540-45735-6_12
Baeza-Yates, Ricardo ; Saint-Jean, Felipe ; Castillo, Carlos. / Web structure, dynamics and page quality. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2476 Springer Verlag, 2002. pp. 117-130 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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