A computer system trains an artificial intelligence (AI) implemented on the computer system. The computer system includes one or more processors that are configured to receive historical transaction data for a set of resources, where the historical transaction data includes positive examples relating to purchases of one or more resources of the set of resources. The one or more processors are also configured to derive augmented data from the historical transaction data, where the augmented data includes negative examples relating to fictional non-purchase decisions for the set of resources. The one or more processors are further configured to determine a training set for a machine learning algorithm for the AI, where the training set includes the historical transaction data and the augmented data. The one or more processors are configured to train the AI using the machine learning algorithm based on the training set.
SYSTEMS AND METHODS FOR TRAINING ARTIFICIAL INTELLIGENCE TO PREDICT UTILIZATION OF RESOURCES