Contrastive Learning for Sequential Recommendation with Interest Trends Augmentation from Frequency Domain Perspective

Model

Our model CFIT4SRec is implemented based on the RecBole.

Both the processing of the dataset and the metrics calculation follow the implementation of RecBole.

CFIT4SRec in /recbole/model/sequential_recommender/cfit4srec.py

Usage

We provide the script main_run.py to run the model

Citation

If you use this code, please cite the pape

Credit

This repo is based on RecBole and DuoRec