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Automated relevance tuning

  • US 20060224577A1
  • Filed: 03/31/2005
  • Published: 10/05/2006
  • Est. Priority Date: 03/31/2005
  • Status: Active Grant
First Claim
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1. A method for performing a document search, comprising:

  • providing a plurality of documents, each document being associated with at least one search query;

    identifying one or more feature parameters for use in a document ranker, each feature parameter having an initial parameter value;

    ranking each of the plurality of documents relative to a test set of documents at each of a plurality of parameter variations using said document ranker, wherein each parameter variation comprises a parameter value for an associated feature parameter and the initial parameter value for all other feature parameters;

    determining, for each of the plurality of documents, one or more parameter variations that produce a ranking change for a document relative to one or more of the test documents;

    aggregating, for each feature parameter, the ranking changes for each of the plurality of documents for each parameter variation associated with the feature parameter;

    identifying, for each feature parameter, a parameter variation corresponding to a maximum relevance value based on the aggregated ranking changes for each of the plurality of documents;

    adjusting the parameter values of the plurality of parameters based on the identified parameter variations corresponding to the maximum relevance values;

    receiving a search query; and

    calculating a ranking value for at least one document using the adjusted parameter values in response to the search query.

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