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[TKDE 2018] Code for "MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation"

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MV-RNN

model

This is the code for the TKDE 2018 Paper: MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation.

Usage

Our model is a little bit complicated and the annotations are in Chinese. If you would like to make a comparison, you can apply one of the variants of the model, called 'Con.' in this paper. It is easy to understand and implement.

Requirements

  • python
  • Theano

Citation

Please cite our paper if you use the code:

@article{cui2018mv,
  title={MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation},
  author={Cui, Qiang and Wu, Shu and Liu, Qiang and Zhong, Wen and Wang, Liang},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2018},
  publisher={IEEE}
}

Contact information

If you have other questions or confusions, please send email to [cuiqiang1990@hotmail.com].

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[TKDE 2018] Code for "MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation"

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  • Python 97.3%
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