[1] Download the data and model-related files from this anonymized link
The data folder contains the dataset files needed to train/test RecipeBowl. The saved folder contains the pretrained RecipeBowl with its saved hyperparameters and the recommendation results for the test dataset.
Prior to running the code, it is highly advisable to configure the python environment using environment.yaml. run_train.sh trains the RecipeBowl model from scratch while run_test.sh loads the saved model and performs recommendation on the test dataset.