Next Point-of-Interest Recommendation with Temporal and Multi-le...

# TMCA Python implementation of the: [Next Point-of-Interest recommendation with Temporal and Multi-level Context Attention](https://ieeexplore.ieee.org/document/8594953) ICDM2018 paper. Please cite the following work. R. Li, Y. Shen and Y. Zhu, "Next Point-of-Interest Recommendation with Temporal and Multi-level Context Attention," 2018 IEEE International Conference on Data Mining (ICDM), Singapore, Singapore, 2018, pp. 1110-1115. doi: 10.1109/ICDM.2018.00144 ## Dependencies Version * python 3.6.4 * tensorflow-gpu 1.4.0 * numpy 1.14.0 ## Dataset * Gowalla: - The source files: [SNAP](http://snap.stanford.edu/data/loc-gowalla.html) - The category files: [PACE](https://github.com/yangji9181/PACE2017) or [DRIVE](https://drive.google.com/file/d/1t71hTf3KA1TkQD_mLfs-cD2ueXLBRw7x/view) * Yelp: [Round 10 Challenge](https://www.yelp.com/dataset/challenge)