Abstract: Machine learning systems for predictive targeting and optimizing engagement are described herein. In various embodiments, the system includes 1) training a first machine learning computer model to generate machine predicted outcomes; (2) determining weights based on the machine predicted outcomes; (3) generating a second machine learning computer model based on the weights; and (4) generating machine learned predictions for candidates.

Abstract: Systems and processes for iteratively training a training module are described herein. In various embodiments, the process includes: (1) retrieving bulk data comprising a plurality of raw position data elements from a plurality of data sources, (2) transforming the raw position data elements according to preconfigured classification guidelines to generate standardized position data element groups; (3) training a raw training module by iteratively processing each of the standardized position data element groups through a raw training module to generate respective output renumeration values; (4) updating one or more emphasis guidelines based on a comparison of the respective output renumeration values; (5) processing an input position data element set with a trained training module to generate a display renumeration value; and (6) modifying a display based on the display renumeration value.

Abstract: A system to receive an instruction to match candidates to a job announcement; identify first qualifications, of each candidate, that match parameters of the job; identify a second qualification, for any candidate, that does not match any of the parameters; determine a cost to provide a service to enable any candidate to obtain the second qualification; determine a score for each candidate based on the first qualifications, the second qualification, or the cost to provide the service; select a candidate based on the score for each candidate; obtain credit information that identifies terms of financing that can be extended; and output an indication that identifies at least one of the first qualifications of the selected candidate, the second qualification of the selected candidate, the score for the selected candidate, the cost to provide the service, or the credit information to cover the cost of the service.