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Do not crawl in the DUST: different URLs with similar text

Published: 23 May 2006 Publication History

Abstract

We consider the problem of dust: Different URLs with Similar Text. Such duplicate URLs are prevalent in web sites, as web server software often uses aliases and redirections, translates URLs to some canonical form, and dynamically generates the same page from various different URL requests. We present a novel algorithm, DustBuster, for uncovering dust; that is, for discovering rules for transforming a given URL to others that are likely to have similar content. DustBuster is able to detect dust effectively from previous crawl logs or web server logs, without examining page contents. Verifying these rules via sampling requires fetching few actual web pages. Search engines can benefit from this information to increase the effectiveness of crawling, reduce indexing overhead as well as improve the quality of popularity statistics such as PageRank.

Cited By

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  • (2021)An intelligent system for focused crawling from Big Data sourcesExpert Systems with Applications: An International Journal10.1016/j.eswa.2021.115560184:COnline publication date: 1-Dec-2021
  • (2017)Design of a Migrating Crawler Based on a Novel URL Scheduling Mechanism using AHPInternational Journal of Rough Sets and Data Analysis10.4018/IJRSDA.20170101064:1(95-110)Online publication date: Jan-2017
  • (2012)A system's approach towards domain identification of web pages2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing10.1109/PDGC.2012.6449938(870-875)Online publication date: Dec-2012
  • Show More Cited By

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  1. Do not crawl in the DUST: different URLs with similar text

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    cover image ACM Conferences
    WWW '06: Proceedings of the 15th international conference on World Wide Web
    May 2006
    1102 pages
    ISBN:1595933239
    DOI:10.1145/1135777
    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: 23 May 2006

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    Author Tags

    1. duplicates
    2. mining
    3. rules
    4. similarity

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    WWW06
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    Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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    Cited By

    View all
    • (2021)An intelligent system for focused crawling from Big Data sourcesExpert Systems with Applications: An International Journal10.1016/j.eswa.2021.115560184:COnline publication date: 1-Dec-2021
    • (2017)Design of a Migrating Crawler Based on a Novel URL Scheduling Mechanism using AHPInternational Journal of Rough Sets and Data Analysis10.4018/IJRSDA.20170101064:1(95-110)Online publication date: Jan-2017
    • (2012)A system's approach towards domain identification of web pages2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing10.1109/PDGC.2012.6449938(870-875)Online publication date: Dec-2012
    • (2009)Automated ontology instantiation from tabular web sources-The AllRight systemWeb Semantics: Science, Services and Agents on the World Wide Web10.1016/j.websem.2009.04.0027:3(136-153)Online publication date: 1-Sep-2009
    • (2008)xCrawlProceedings of the 2008 Eighth IEEE International Conference on Data Mining10.1109/ICDM.2008.121(550-559)Online publication date: 15-Dec-2008
    • (2007)Using the web infrastructure to preserve web pagesInternational Journal on Digital Libraries10.5555/2794654.32699446:4(327-349)Online publication date: 1-Jul-2007
    • (2007)Do not crawl in the dustProceedings of the 16th international conference on World Wide Web10.1145/1242572.1242588(111-120)Online publication date: 8-May-2007
    • (2007)Using the web infrastructure to preserve web pagesInternational Journal on Digital Libraries10.1007/s00799-007-0012-y6:4(327-349)Online publication date: 1-Jul-2007
    • (2006)Hierarchical topic segmentation of websitesProceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining10.1145/1150402.1150433(257-266)Online publication date: 20-Aug-2006
    • (undefined)Automated Ontology Instantiation from Tabular Web Sources The AllRight SystemSSRN Electronic Journal10.2139/ssrn.3199423

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