Search By Document Type

Information

  • Patent Application
  • 20070150472
  • Publication Number
    20070150472
  • Date Filed
    December 22, 2005
    20 years ago
  • Date Published
    June 28, 2007
    18 years ago
Abstract
A method of finding documents. A method of finding documents comprising, ranking documents according to relevance to form a ranked relevance list, ranking documents according to type to form a ranked type list, and interpolating the ranked relevance list and the ranked type list to form a list of documents ranked by relevance and type.
Description

DESCRIPTION OF THE DRAWINGS

The present description will be better understood from the following detailed description read in light of the accompanying drawings, wherein:



FIG. 1 shows two examples of web documents that may be found in a conventional search.



FIG. 2 shows two exemplary instruction documents found as the result of a conventional search pertaining to the query ‘how to compile Amaya’.



FIG. 3 shows examples of documents that might be found as a result of a search.



FIG. 4 is a flow diagram showing manuals search by using a relevance model and a type model.



FIG. 5 illustrates an exemplary computing environment 500 in which the manuals search by using a relevance model and a type model described in this application, may be implemented.


Claims
  • 1. A method of searching by document type comprising: ranking documents according to relevance to form a ranked relevance list:ranking documents according to type to form a ranked type list; andinterpolating the ranked relevance list and the ranked type list to form a list of documents ranked by relevance and type.
  • 2. The method of searching by document type of claim 1 further comprising learning a relevance model from a set of relevance model training data.
  • 3. The method of searching by document type of claim 2 in which the relevance model set of training data includes a query, a document, and a label.
  • 4. The method of searching by document type of claim 1 further comprising learning a type model from a set of type training data.
  • 5. The method of searching by document type of claim 4 in which the type model a set of training data includes a document and a label.
  • 6. The method of searching by document type of claim 1 in which interpolation is performed by linear interpolation.
  • 7. The method of searching by document type of claim 1 in which ranking documents according to relevance to form a ranked relevance list is performed by a document relevance search.
  • 8. The method of searching by document type of claim 7 in which the document relevance search is Okapi.
  • 9. The method searching by document type of claim 1 in which ranking documents according to type to form a ranked type list is performed by a classifier.
  • 10. The method searching by document type of claim 9 in which the classifier is logistic regression.