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The code of WWW 2022 paper "Neuro-Symbolic Interpretable Collaborative Filtering for Attribute-based Recommendation".

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Neuro-Symbolic Interpretable Collaborative Filtering

The code of WWW 2022 paper "Neuro-Symbolic Interpretable Collaborative Filtering for Attribute-based Recommendation".



This is a pytorch implementation of NS-ICF model.

Prerequisites

  • Python 3.7
  • Pytorch>=1.4.0

Notes

We extract the country imformation of the movie in DBLP.

References

If you find this work helpful in your research, please consider citing the following paper. The bibtex are listed below:

@article{yan2022www,
  title={Neuro-Symbolic Interpretable Collaborative Filtering for Attribute-based Recommendation},
  author={Zhang, Wei and Yan, Junbing and Wang, Zhuo and Wang, Jianyong},
  year={2022}
}

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The code of WWW 2022 paper "Neuro-Symbolic Interpretable Collaborative Filtering for Attribute-based Recommendation".

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