This is our Pytorch implementation for the paper: Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRec

In our experiments, we utilize 4 datasets, all stored in the ./data folder.

• For the Beauty, Sports, Toys, and Yelp datasets, we employed the datasets downloaded from this repository.

Please run the following command to create the Conda environment to run our code:

conda env create -f env.yml

After creating the Conda environment, you can activate the environment:

conda activate FENRec

After activating the Conda environment, you can use the training scripts in the ./src/scrips folder to train the model:

bash beauty.sh
bash sports.sh
bash toys.sh
bash yelp.sh