DeepMove: Predicting Human Mobility with Attentional Recurrent Networks

In DeepMove, an attentional recurrent network for mobility prediction from lengthy and sparse trajectories, a multi-modal embedding recurrent neural network is designed to capture the complicated sequential transitions by jointly embedding the multiple factors that govern the human mobility.