Abstract: 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.

Abstract: A computer-implemented method of captures transaction data associated with a purchase made on a client computer running a web browser client process and coupled over the Internet to an e-commerce server system. In this embodiment, the browser client process includes a script-generated process based on an e-commerce script served to the browser client process. The e-commerce script includes a user-enterable execute command that causes sending of a consummate-purchase command to the e-commerce server system. The method of this embodiment includes serving to the browser client process a capture script, the capture script configured to cause creation of an event log and, on entry of the execute command, to cause sending of the event log to an event server system.