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    This was brought to you by:

    block this user Carlos Castillo Trusted member

    Senior Research Associate

    Yahoo! Research

    ABSTRACT Crawling the Web with Limited Memory

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    Search engines rely on Web crawlers to create a Web index, by exploring the Web graph, downloading pages, and finding links to new pages to be explored. At any given moment, there are a number of pages waiting to be downloaded in the crawler queue. We study the growth of the queue of pending pages during a crawl of a large subset of the Web. In a normal breadth-first crawler, the queue of pending pages quickly grows very large. We present a strategy for managing the pending queue that reduces its maximum size by 50 % while preserving the coverage and quality of the pages visited. This can be applied in general Web search as well as topic-specific crawling, peer-to-peer search, on-demand Web crawling, and other environments in which memory usage has to be kept to a minimum. 1.

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    New Full text for this article was not available? Send a request to the author(s).
    Title : ABSTRACT Crawling the Web with Limited Memory
    Abstract : Search engines rely on Web crawlers to create a Web index, by exploring the Web graph, downloading pages, and finding links to new pages to be explored. At any given moment, there are a number of pages waiting to be downloaded in the crawler queue. We study the growth of the queue of pending pages during a crawl of a large subset of the Web. In a normal breadth-first crawler, the queue of pending pages quickly grows very large. We present a strategy for managing the pending queue that reduces its maximum size by 50 % while preserving the coverage and quality of the pages visited. This can be applied in general Web search as well as topic-specific crawling, peer-to-peer search, on-demand Web crawling, and other environments in which memory usage has to be kept to a minimum. 1.
    Subject : unspecified
    Area : Computer Science
    Language : English
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    Url : http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.71.5913&rep=rep1&type=pdf
    Doi : 10.1.1.71.5913

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    Carlos's Peer Evaluation activity

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    • Terrell Russell, Student, Ph.D. Level, School of Information and Library Science, University of North Carolina at Chapel Hill.
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