ConGCN: Factorized Graph Convolutional Networks for Consensus Recommendation

Author:

Li Boyu,Guo Ting,Zhu Xingquan,Wang Yang,Chen Fang

Publisher

Springer Nature Switzerland

Reference37 articles.

1. Abdollahpouri, H.: Popularity bias in ranking and recommendation. In: Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society. pp. 529–530 (2019)

2. Abdollahpouri, H., Burke, R., Mobasher, B.: Managing popularity bias in recommender systems with personalized re-ranking. In: The thirty-second international flairs conference (2019)

3. Abdollahpouri, H., Mansoury, M., Burke, R., Mobasher, B.: The unfairness of popularity bias in recommendation. arXiv preprint arXiv:1907.13286 (2019)

4. Berg, R.v.d., Kipf, T.N., Welling, M.: Graph convolutional matrix completion. arXiv preprint arXiv:1706.02263 (2017)

5. Bonner, S., Vasile, F.: Causal embeddings for recommendation. In: Proceedings of the 12th ACM Conference on Recommender Systems. pp. 104–112 (2018)

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