The project is implementation of MIFARec model. All of auther data are hided for double-blind review. Refered to the paper: 'MIFARec: Mixed-Interest-based Fourier Analysis Network for Time-Specific Recommendation'.
Method to run the project: 1, Config the software of python and CUDA. It supports Windows and Linux both. 2, Modify ROOT_PATH and MAIN_PATH to corresponding file path. 3, Run the file 'src/main.py', and the recommendation performance data will be printed out to 'test_result.txt' which is in root path. 4, Performance data of baseline models could be refered to ReChorus project: https://github.com/THUwangcy/ReChorus.