×

MODEL-BASED IDENTIFICATION OF RELEVANT CONTENT

  • US 20170075978A1
  • Filed: 09/16/2015
  • Published: 03/16/2017
  • Est. Priority Date: 09/16/2015
  • Status: Abandoned Application
First Claim
Patent Images

1. A method, comprising:

  • obtaining validated training data comprising a first set of content items and a first set of relevance tags, wherein the first set of relevance tags is used by one or more domain experts to identify the first set of content items as relevant to one or more topics;

    using the validated training data to produce, by one or more computer systems, a statistical model for classifying a relevance of content to the one or more topics;

    using the statistical model to generate, by the one or more computer systems, a second set of relevance tags for a second set of content items; and

    outputting, by the one or more computer systems, one or more groupings of the second set of content items by the second set of relevance tags to improve understanding of content related to the one or more topics without requiring a user to manually analyze the second set of content items.

View all claims
  • 2 Assignments
Timeline View
Assignment View
    ×
    ×