Generating ranked search results using linear and nonlinear ranking models

  • US 8,346,765 B2
  • Filed: 06/14/2010
  • Issued: 01/01/2013
  • Est. Priority Date: 06/19/2009
  • Status: Active Grant
First Claim
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1. A method for generating ranked search results, comprising:

  • receiving a plurality of matching information items that match a search request;

    ranking at least some of the plurality of matching information items using a linear ranking model that linearly combines a first plurality of feature values to obtain a first set of ranked results, wherein the linear ranking model combines the first plurality of feature values in a linear fashion using weight coefficients corresponding to the first plurality of feature values;

    ranking at least some of the first set of ranked results using a nonlinear ranking model that nonlinearly combines a second plurality of feature values to obtain a second set of ranked results, wherein the nonlinear ranking model combines the second plurality of feature values in a nonlinear fashion using weight coefficients corresponding to the second plurality of feature values; and

    providing a search response based on the second set of ranked results.

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