A Simple Convolutional Generative Network for Next Item Recommendation

@article{Yuan2018ASC,
  title={A Simple Convolutional Generative Network for Next Item Recommendation},
  author={Fajie Yuan and Alexandros Karatzoglou and Ioannis Arapakis and Joemon M. Jose and Xiangnan He},
  journal={Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining},
  year={2018}
}
Convolutional Neural Networks (CNNs) have been recently introduced in the domain of session-based next item recommendation. [] Key Method The network architecture of the proposed model is formed of a stack of holed convolutional layers, which can efficiently increase the receptive fields without relying on the pooling operation. Another contribution is the effective use of residual block structure in recommender systems, which can ease the optimization for much deeper networks. The proposed generative model…

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