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

摘要

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.

主权项

1. A non-transitory computer-readable medium storing instructions that, when executed by a computing device, cause the computing device to perform a method comprising:
a. determining a first set of requirements for a buyer; b. determining a second set of requirements for each service provider belonging to a group of service providers; and c. performing predictive analysis based on all sets of requirements, thereby intelligently suggesting at least one match between the buyer and a service provider belonging to the group of service providers such that the match is more likely than not to be successful, wherein each set of requirements include at least one structured datum, at least one unstructured datum or a combination thereof, wherein the at least one structured datum is explicit and the at least one unstructured datum is implicit.