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Training a search result ranker with automatically-generated samples

  • US 8,060,456 B2
  • Filed: 10/01/2008
  • Issued: 11/15/2011
  • Est. Priority Date: 10/01/2008
  • Status: Active Grant
First Claim
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1. One or more processor-accessible tangible media comprising processor-executable instructions for training a search result ranker, wherein the processor-executable instructions, when executed, direct a system to perform acts comprising:

  • inferring user interests from user interactions with search results for a particular query, the search results including identifiers that comprise uniform resource locators (URLs);

    determining respective relevance scores associated with respective query-identifier pairs of the search results, each respective relevance score comprising a respective probability of the respective identifier being skipped by a user;

    formulating query-identifier-relevance score triplets from the respective relevance scores associated with the respective query-identifier pairs;

    submitting the query-identifier-relevance score triplets as training samples to a search result ranker; and

    training the search result ranker as a learning machine with multiple training samples comprising the query-identifier-relevance score triplets.

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