 Deep reinforcement learning has been used to approximate the value of possible direct marketing actions, defined in terms of RFM variables.The estimated value function was shown to have a natural interpretation as customer lifetime value.Recommendation systems have used deep learning to extract meaningful features for a latent factor model for content-based music and journal recommendations.