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The code for ECML-PKDD 2024 paper "Towards Open-World Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach".

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MACD

The code for ECML-PKDD 2024 paper "Towards Open-World Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach".

Train/Eval

bash run.sh

Citation

If you found the codes are useful, please cite our paper.

  @article{xu2024towards,
    title={Towards open-world cross-domain sequential recommendation: A model-agnostic contrastive denoising approach},
    author={Xu, Wujiang and Ning, Xuying and Lin, Wenfang and Ha, Mingming and Ma, Qiongxu and Chen, Linxun and Han, Bing and Luo, Minnan},
    journal={ECML-PKDD},
    year={2024}
  }

Contact us

Please feel free to contact us with the email to W. Xu "wujiang dot xu at rutgers dot edu" or "swustimp at gmail dot com".

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The code for ECML-PKDD 2024 paper "Towards Open-World Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach".

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