source code for DeepTrip This is the implementation of the deep learning based DeepTrip model.
- python >= 2.7
- Tensorflow 1.8 or ++
We use four different cities extrated from real-world Location-based Social Network data as follows.
- Flickr: https://bitbucket.org/d-chen/tour-cikm16
- Foursquare(Tokyo): https://sites.google.com/site/yangdingqi/home/foursquare-dataset
- (remark) Please do not use these datasets for commercial purpose. For academic uses, please cite the paper. For Foursquare dataset, we use the same method as in [35] to construct the social networks. Thanks for their help.(see the reference [2,35] in the paper).
- python gae_context.py
Hope such an implementation could help you on your projects. Any comments and feedback are appreciated.
- Gao, Qiang, Goce Trajcevski, Fan Zhou, Kunpeng Zhang, Ting Zhong, and Fengli Zhang. "DeepTrip: Adversarially Understanding Human Mobility for Trip Recommendation." In Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 444-447. 2019.