CFIT4SRec

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

We provide the script main_run.py to run the model

If you use this code, please cite the pape

This repo is based on RecBole and DuoRec

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
conda		conda
recbole		recbole
README.md		README.md
main_run.py		main_run.py
requirements.txt		requirements.txt
run_hyper.py		run_hyper.py
run_seq.py		run_seq.py
seq.yaml		seq.yaml
setup.py		setup.py
style.cfg		style.cfg