IP Library Patent Application 11383638
Patent Application
App. No. 11/383,638

Search By Document Type And Relevance

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Patent No.
US None
App. No.
11/383,638
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 combining the ranked relevance list and the ranked type list to form a list of documents ranked by relevance and type.

Claims (28)

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; and

combining 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 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 combination.

7 . The method of searching by document type of claim 1 in which interpolation is performed by thresholding.

8 . 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.

9 . The method of searching by document type of claim 8 in which the document relevance search is Okapi.

10 . 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.

11 . The method searching by document type of claim 10 in which the classifier is logistic regression.

12 . A computer readable media encoded to perform a typed search comprising:

performing a typed search to produce a first result and a second result; and

combining the first result and the second result.

13 . The computer readable media encoded to perform a typed search of claim 12 in which combining is performed by linear combination.

14 . The computer readable media encoded to perform a typed search of claim 12 in which combining is performed by thresholding.

15 . The computer readable media encoded to perform a typed search of claim 12 in which the typed search includes utilizing a type model.

16 . The computer readable media encoded to perform a typed search of claim 12 in which the typed search includes utilizing a relevance model.

17 . A system for searching by document type comprising:

a means for determining a relevance model producing a first result;

a means for determining a type model for producing a second result; and

a means for combining the first result and the second result.

18 . The system for searching by document type of claim 17 in which the means for combining includes a means for linearly combining the first result and the second result.

19 . The system for searching by document type of claim 17 in which the means for combining includes a means for thresholding the first result and the second result.

20 . The system for searching by document type of claim 17 in which an instruction document is found.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 15, 2015
From: MICROSOFT CORPORATION
To: MICROSOFT TECHNOLOGY LICENSING, LLC
Reel/Frame 034766/0509 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 21, 2006
From: LI, HANG; CAO, YUNBO; XU, JUN
To: MICROSOFT CORPORATION
Reel/Frame 017824/0899 →