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Google's New Patent Indicates Inclusion Of Relevance Factors For Ads

January 19th, 2007 | 926 Views RSS Feed



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Google has filed a new patent which indicates that Google might include relevancy factors in its contextual ad algorithms. Bill Slawski reports that:

The process described in the filing involves accepting ads that are relevant to a document, and then scoring each of the accepted ads by using a price parameter associated with the ads, an indication of relevancy of the ads to the document, and a performance parameter.

Under the method described, the price parameter could be:

    * an offer per impression,
    * an offer per selection,
    * an offer per conversion,
    * a maximum offer per impression,
    * a maximum offer per selection, and;
    * a maximum offer per conversion.

Relevancy of an ad to a page can be determined by:

    * Determining concepts (probabilistic hierarchical inferential learned clusters) of the document,
    * Determining a set of one or more ads with the determined concepts, and;
    * Obtaining targeting information (keywords) from at least some ads belonging to the set of one or more ads.

The performance parameter associated with the ads can be based upon:

    * selection rate
    * conversion rate.

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