×

Machine-learned approach to determining document relevance for search over large electronic collections of documents

  • US 7,287,012 B2
  • Filed: 01/09/2004
  • Issued: 10/23/2007
  • Est. Priority Date: 01/09/2004
  • Status: Active Grant
First Claim
Patent Images

1. A computer-implemented system that facilitates a machine-learned approach to determine document relevance, comprising:

  • a storage component that receives a set of human or machine selected items to be employed as positive test cases; and

    a training component that trains at least one classifier with the human or machine selected items as positive test cases and one or more other items as negative test cases in order to provide a query-independent model, the trained classifier is employed to filter documents obtained from statistical-based or probabilistic-based searches.

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