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ENTERPRISE RELEVANCY RANKING USING A NEURAL NETWORK

  • US 20090106223A1
  • Filed: 10/18/2007
  • Published: 04/23/2009
  • Est. Priority Date: 10/18/2007
  • Status: Active Grant
First Claim
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1. ) A method of determining a relevancy rank ordering score for a plurality of documents comprising:

  • (a) identifying a finite set of candidate documents;

    (b) for each of the candidate documents;

    (i) obtaining a plurality of ranking features associated with the candidate document, at least one of the ranking features selected from the group consisting of BM25, click distance, URL depth, file type, and language; and

    (ii) using a neural network to calculate a relevancy score from the ranking features,

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