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SEARCH ENGINE TRICKS

A view on Google’s Patent: Information Retrieval Based on Historical Data
By: Jase Dow
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    2005-04-27

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  • A view on Google’s Patent: Information Retrieval Based on Historical Data
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    A view on Google’s Patent: Information Retrieval Based on Historical Data


    (Page 1 of 4 )

    Google doesn’t stop innovating their search engine, and there where others try to follow, Google is not just 1 step ahead, but 10 steps ahead. Their latest innovation, which actually may already be in place for a year or longer, can be found in the patent: “Information Retrieval Based on Historical Data.”The abstract of the patent is: "A system identifies a document and obtains one or more types of history data associated with the document. The system may generate a score for the document based, at least in part, on the one or more types of history data".

    This article has the goal to give a amplified representation of this patent + contains recommendations as to what would be the best SEO techniques to obtain high rankings, with a specific focus on links. This article is the opinion of the writer and following recommendation in this article is done at your own risk.

    Google's search results have been increasingly difficult to explain and many theories have been developed on what is going on. Most popular is the "sand box" theory, which says that a new site is put in a virtual sand box and has to wait until it has aged before obtaining high rankings. This patent has some excellent information that can explain this phenomenon.

    Information Retrieval

    The information that this invention of Google is claimed to retrieve based on the historical data are:

    1) Age/Time
    2) Change
    3) Trends

    A score is calculated based on the above 3 factors which can then, at least partially, be used to rank the selected pages.

    Historical Data

    The patent describes a huge amount of historical data. The following is an overview of most items for which historical data can be measured:

    * Pages/sites
    * Links
    * Anchor Texts
    * Content
    * Query
    * Traffic
    * Ranking
    * User
    * Domain

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