Awesome
Diffusion Augmentation for Sequential Recommendation
This is the implementation of the paper "Diffusion Augmentation for Sequential Recommendation".
You can implement our model according to the following steps:
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The handle dataset should be put into
./data/<dataset>/handled/
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Install the necessary packages. Run the command:
pip install -r requirements.txt
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To get train the DiffuASR and augment the corresponding dataset, please run the command:
bash ./experiments/diffusion.bash
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Finally, you can run the following bash to test the augmention performance for Bert4Rec:
bash ./experiments/bert4rec.bash