METHOD FOR FINDING SEMANTICALLY RELATED SEARCH ENGINE QUERIES

Patent №

US 7,577,646

Granted

2009-08-18

Filed 2005

Owner

MICROSOFT CORPORATION

AI components

6

ml · nlp · kr · planning · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11119667

A method for determining semantic correlation between an input query and stored queries based on their temporal correlation. Embodiments include a formal calculation of a correlation coefficient between an input query and stored queries. Alternate embodiments include methods for calculation of a correlation coefficient using a reduced data model and efficient data examination with little or no sacrifice in the accuracy of the correlation coefficient.

Machine learningNatural languageKnowledge representationPlanningEvolutionary computationAI hardwareG06F 16/9532G06F 16/3332G06F 16/951Y10S 707/99934Y10S 707/99936Y10S 707/99943

AI classification

Natural language1.00
Machine learning1.00
AI hardware0.99
Planning0.74
Evolutionary computation0.56
Knowledge representation0.54
Speech0.01
Vision0.00

Ownership

MICROSOFT CORPORATION

assignment · 161700787

Assignors

CHIEN, STEVE, IMMORLICA, NICOLE

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

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