/GAIMC

Geography-Aware Inductive Matrix Completion for Personalized Point of Interest Recommendation in Smart Cities

Primary LanguageJupyter Notebook

Note

This code is the implementation of 'Geography-Aware Inductive Matrix Completion for Personalized Point of Interest Recommendation in Smart Cities'

Running

  1. Run split_data for preprocess data, then run GMM_list to obtain features. Finally run TADW_list to obtain representations and AUC results.

Citation

Please cite the following paper for the paper usage:

@article{wang2019geography, title={Geography-Aware Inductive Matrix Completion for Personalized Point of Interest Recommendation in Smart Cities}, author={Wang, Wei and Chen, Junyang and Wang, Jinzhong and Chen, Junxin and Gong, Zhiguo}, journal={IEEE Internet of Things Journal}, year={2019}, publisher={IEEE} }