Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts

Short summary

A novel Spatial Temporal Recurrent Neural Network (ST-RNN) model significantly improves location prediction by explicitly modeling continuous time intervals and geographical distances, outperforming existing methods like FPMC and TF.

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