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    The freshness of Web search engine databases

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    Author
    Lewandowski, Dirk
    Wahlig, Henry
    Meyer-Bautor, Gunnar
    Issue Date
    2005
    Submitted date
    2006-05-25
    Keywords
    World Wide Web
    Information Science
    Information Retrieval
    Internet
    Information Systems
    Local subject classification
    Search engines
    Online information retrieval
    Index freshness
    
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    Citation
    The freshness of Web search engine databases 2005,
    URI
    http://hdl.handle.net/10150/105302
    Abstract
    This is a preprint of an article published in the Journal of Information Science Vol. 32, No. 2, 131-148 (2006). This study measures the frequency in which search engines update their indices. Therefore, 38 websites that are updated on a daily basis were analysed within a time-span of six weeks. The analysed search engines were Google, Yahoo and MSN. We find that Google performs best overall with the most pages updated on a daily basis, but only MSN is able to update all pages within a time-span of less than 20 days. Both other engines have outliers that are quite older. In terms of indexing patterns, we find different approaches at the different engines: While MSN shows clear update patterns, Google shows some outliers and the update process of the Yahoo index seems to be quite chaotic. Implications are that the quality of different search engine indices varies and not only one engine should be used when searching for current content.
    Type
    Preprint
    Language
    en
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    DLIST

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