LOOK-AHEAD DOCUMENT RANKING SYSTEM

Patent №

US 7,580,945

Granted

2009-08-25

Filed 2007

Owner

MICROSOFT CORPORATION

AI components

3

ml · nlp · kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11694464

A method and system is provided for calculating importance of documents based on transition probabilities from a source document to a target document based on looking ahead to information content of target documents of the source document. A look-ahead importance system generates transition probabilities of transitioning between any pair of source and target documents based on analysis of links to target documents of the source document. The system may calculate the transition probabilities based on the number of links on documents a look-ahead distance away. The system then solves for the stationary probabilities of the transition probabilities. The stationary probabilities represent the importance of the documents.

Machine learningNatural languageKnowledge representationG06F 16/951Y10S 707/99933Y10S 707/99942Y10S 707/99943Y10S 707/99945

AI classification

Natural language1.00
Knowledge representation1.00
Machine learning0.87
Planning0.50
Vision0.30
AI hardware0.24
Speech0.00
Evolutionary computation0.00

Ownership

MICROSOFT CORPORATION

assignment · 194130298

Assignors

LIU, TIE-YAN

On an employer assignment, the assignors are typically the inventors.

© 2026 NYSGPT2525 LLC