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Multi-campaign content allocation based on experiment difference data

  • US 8,539,067 B2
  • Filed: 05/11/2010
  • Issued: 09/17/2013
  • Est. Priority Date: 12/31/2009
  • Status: Active Grant
First Claim
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1. A computer-implemented method, comprising:

  • receiving, by a data processing apparatus, a content request, the request specifying one or more environment parameters corresponding to the environment for which the requested content is being requested;

    identifying, by a data processing apparatus and based on the environment parameters, a content distribution account for which a control campaign is eligible to provide a content item in response to the request, the content distribution account also including an experiment campaign;

    selecting, by a data processing apparatus and as an available campaign for the received content request, the experiment campaign from among the control campaign and the experiment campaign, the selection being based on a portion of content item requests for which the experiment campaign is required to be selected;

    identifying, for the control campaign, a set of campaign parameters that control distribution of content in the control campaign;

    identifying, for the experiment campaign, experiment difference data specifying differences between the set of campaign parameters and experiment parameters for the experiment campaign, the experiment parameters being parameters that control distribution of content in the experiment campaign, and the experiment difference data excluding one or more of the experiment parameters that match a campaign parameter in the set of campaign parameters;

    determining the experiment parameters based on a combination of the set of campaign parameters and the experiment difference data; and

    providing, by a data processing apparatus, content from the experiment campaign in response to the request, the content being provided according to the experiment parameters.

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