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PERSONALIZATION ENGINE FOR CLASSIFYING UNSTRUCTURED DOCUMENTS

  • US 20090327243A1
  • Filed: 01/30/2009
  • Published: 12/31/2009
  • Est. Priority Date: 06/27/2008
  • Status: Active Grant
First Claim
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1. A computer-implemented method for classifying an electronic document, the method comprising:

  • analyzing author-generated classification information regarding the document with a document classification server and assigning a set of first taxonomic nouns to characterize the document based upon the author-generated classification information;

    examining a user-generated tag from a client computer characterizing a portion of the document and assigning a set of second taxonomic nouns to characterize the document based upon the user-generated tag characterization;

    identifying a search term that resulted in the user accessing the document from a content provider site server and assigning at set of third taxonomic nouns to characterize the document based upon the search term result;

    evaluating attributes related to the manner in which a user accesses the document from the content provider site server and assigning a set of fourth taxonomic nouns to characterize the document based upon the attributes related to the manner in which the document was accessed;

    processing the document with a content analysis server to extract a set of fifth taxonomic nouns to characterize the document based upon a predetermined pattern rule;

    aggregating the taxonomic nouns with a personalization engine server to determine term vectors that represent the document; and

    categorizing the document based upon at least one of the term vectors, the taxonomic nouns, and the author-generated classification scheme with a targeting server.

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