This is the pytorch implementation of paper "CLSPRec: Contrastive Learning of Long and Short-term Preferences for Next POI Recommendation"
pip install -r requirements.txt torch==2.0.1 numpy==1.24.3 pandas==2.0.2 Pillow==9.4.0 python-dateutil==2.8.2 pytz==2023.3 six==1.16.0 torchvision==0.15.2 typing_extensions==4.5.0 -
Modify the configuration in settings.py
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Train and evaluate the model using python
main.py. -
The training and evaluation results will be stored in
resultfolder.
@inproceedings{CLSPRec2023, title = {{CLSPRec}: Contrastive Learning of Long and Short-term Preferences for Next {POI} Recommendation}, doi = {10.1145/3583780.3614813}, shorttitle = {{CLSPRec}}, pages = {473--482}, booktitle = {Proceedings of the 32nd {ACM} International Conference on Information and Knowledge Management, {CIKM} 2023, Birmingham, United Kingdom, October 21-25, 2023}, publisher = {{ACM}}, author = {Duan, Chenghua and Fan, Wei and Zhou, Wei and Liu, Hu and Wen, Junhao}, editor = {Frommholz, Ingo and Hopfgartner, Frank and Lee, Mark and Oakes, Michael and Lalmas, Mounia and Zhang, Min and Santos, Rodrygo L. T.}, date = {2023} }