RepPad

In this repository, we provide official source code for RepPad its improved variants.

RecSys 2024 paper (RepPad): Repeated Padding for Sequential Recommendation

Under Review paper (RepPad-ENS): Why is Repeated Padding Effective for Sequential Recommendation?

Run the Code

Go to the corresponding directory, where you will find the detailed introduction and running instructions.

We also provide some log files and trained weights for our methods.

Acknowledgement

• Training pipeline is implemented based on CoSeRec.
• SASRec model are implemented based on RecBole.

Thanks them for providing efficient implementation.

Reference

Please cite our paper if you use this code.

@inproceedings{dang2024repeated,
  title={Repeated Padding for Sequential Recommendation},
  author={Dang, Yizhou and Liu, Yuting and Yang, Enneng and Guo, Guibing and Jiang, Linying and Wang, Xingwei and Zhao, Jianzhe},
  booktitle={Proceedings of the 18th ACM Conference on Recommender Systems},
  pages={497--506},
  year={2024}
}