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Real-time data mining

  • US 9,558,267 B2
  • Filed: 02/11/2011
  • Issued: 01/31/2017
  • Est. Priority Date: 02/11/2011
  • Status: Active Grant
First Claim
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1. A computer-implemented method comprising:

  • using a processor to mine user related content information, wherein the information is mined from an information repository;

    filtering the mined user related content information from the information repository, wherein the filtering comprises identifying a subset of the mined user related content information comprising information related to a predetermined category;

    identifying, using a cosine similarity measure, a plurality of words having a similarity to a seed set of words by analyzing the subset, using a plurality of analyzers, wherein each analyzer is configured to capture a plurality of representational variations, from the information repository, related to the seed set of words;

    classifying, based on the analyzing, the plurality of representational variations, wherein the classifying comprises ranking the filtered user related content information;

    combining the classified plurality of representational variations of the user related content information from each of the plurality of analyzers, wherein the combining comprises identifying a relevancy of a representational variation to a user intent based upon the ranking of the filtered user related content information; and

    training a classifier for characterizing real-time intention content from information repositories using the combined plurality of representational variations.

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