JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation

@article{Liu2019JSCNJS,
  title={JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation},
  author={Zhiwei Liu and Lei Zheng and Jiawei Zhang and Jiayu Han and Philip S. Yu},
  journal={2019 IEEE International Conference on Big Data (Big Data)},
  year={2019},
  pages={850-859}
}
Cross-domain recommendation can alleviate the data sparsity problem in recommender systems. To transfer the knowledge from one domain to another, one can either utilize the neighborhood information or learn a direct mapping function. However, all existing methods ignore the high-order connectivity information in cross-domain recommendation area and suffer from the domain-incompatibility problem. In this paper, we propose a Joint Spectral Convolutional Network (JSCN) for cross-domain… 

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