Matching method based on a machine learning algorithm and a system thereof

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United States of America Patent

PATENT NO 9117180
SERIAL NO

13837826

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Abstract

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Embodiments of the present invention are directed to a matching method that implements a machine learning algorithm to serve one or more matches to an individual and to ensure that an outcome of each match is more likely than not to be successful. A recommendation engine uses the machine learning algorithm to perform predictive analysis to thereby select one or more members of an online community to match or pair with the individual, based on at least structured data, unstructured data or both of the individual and/or each selected member. The recommendation engine is configured to continuously learn from past user behavior, including the individual's, to further improve future matches provided to the individual.

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Patent Owner(s)

Patent OwnerAddress
ELANCE INC820A KIFER ROAD SUNNYVALE CA 94086

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Chiu, Kwan-Min Fremont, US 3 32
Grad, Daniel-Augustin Sunnyvale, US 2 9
Gupta, Nidhi Los Altos, US 32 179

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