Jan 19, 2007 113 reads by Navneet Kaushal

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.

Navneet Kaushal

Navneet Kaushal

Navneet Kaushal is the founder and CEO of PageTraffic, an SEO Agency in India with offices in Chicago, Mumbai and London. A leading search strategist, Navneet helps clients maintain an edge in search engines and the online media. Navneet's expertise has established PageTraffic as one of the most awarded and successful search marketing agencies.
Navneet Kaushal
Navneet Kaushal
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