Systems and methods for match evaluation based on change in telematics inferences via a telematics marketplace

Abstract

A computer implemented including: collecting, via one or more sensors, a first set of operator data associated with a first group of vehicle operators during a first time period; determining, for each vehicle operator of the first group of vehicle operators and using one or more trained machine learning models based at least in part upon the first set of operator data, a first set of telematics inferences, the one or more trained machine learning models being trained using training data sets comprising sensor data associated with a second group of vehicle operators to predict telematics inferences; collecting, via the one or more sensors, a second set of operator data associated with the first group of vehicle operators during a second time period; determining, for each vehicle operator of the first group of vehicle operators and based on the second set of operator data, a second set of telematics inferences; determining, for each vehicle operator of the first group of vehicle operators, one or more match evaluations based at least in part upon the first set of telematics inferences and the second set of telematics inferences; and modifying one or more weights of the one or more trained machine learning models based at least in part upon the one or more match evaluations. Other embodiments are described.