Abstract: A system for training and applying deep learning to generate offer recommendations within a payment card network includes a propensity engine configured to train a machine learning model using neural collaborative filtering. The model is trained based on payment card transaction data providing indications of cardholder interactions with merchants, the model is configured to generate offer recommendations for cardholders of payment cards made available by merchants. The system also includes a model serving engine configured to apply available offer data to the model, thereby generating a set of offer recommendations matching one or more available offers with one or more cardholders. The system also includes an execution and fulfilment engine configured to deliver an available offer to a cardholder and fulfill the available offer when activated by the cardholder.

Abstract: A system for training and applying deep learning to generate offer recommendations within a payment card network includes a propensity engine configured to train a machine learning model using neural collaborative filtering. The model is trained based on payment card transaction data providing indications of cardholder interactions with merchants, the model is configured to generate offer recommendations for cardholders of payment cards made available by merchants. The system also includes a model serving engine configured to apply available offer data to the model, thereby generating a set of offer recommendations matching one or more available offers with one or more cardholders. The system also includes an execution and fulfilment engine configured to deliver an available offer to a cardholder and fulfill the available offer when activated by the cardholder.