The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 18, 2003

Filed:

Jun. 05, 2002
Applicant:
Inventor:

Chengxiang Zhai, Pittsburgh, PA (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 1/730 ;
U.S. Cl.
CPC ...
G06F 1/730 ;
Abstract

A novel approach for filtering documents involves the use of delivery ratio threshold setting technique to set an initial profile score threshold and the use of beta-gamma regulation for dynamic threshold updating. A group of documents is scored pursuant to a user profile. The score for each document is indicative of the relevance of the corresponding document to the user profile. The score can be compared with a profile score threshold to decide if the document should be accepted or rejected. According to one aspect of the invention, the initial threshold is set to a score threshold that approximates an expected ratio of acceptable documents calibrated with respect to a set of reference documents. According to another aspect of the invention, the score threshold can be updated based on the accumulated example documents, user's relevance judgment, and the user's utility function. The accumulated example documents are first scored against a profile and a ranked list of scored documents is obtained. Each position at the ranked list corresponds to a candidate score threshold as well as a utility value computed based on the relevance status of the example documents. From these candidate threshold points, an optimal utility threshold and a zero utility threshold are determined. Using the optimal utility threshold and the zero utility threshold, a new utility threshold is calculated by interpolating between estimates of the optimal utility threshold and the zero utility threshold. This new utility threshold is used for subsequent information retrieval and filtering.


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