Knowledge-aware recommendation papers.
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Personalized Entity Recommendation: A Heterogeneous Information Network Approach. Xiao, Yu, et al. WSDM, 2014. paper
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Collaborative Knowledge Base Embedding for Recommender Systems. Fuzheng, Zhang, et al. KDD, 2016. paper
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RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems. Wang, Hongwei, et al. CIKM, 2018. paper
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DKN: Deep knowledge-aware network for news recommendation. Wang, Hongwei, et al. WWW, 2018. paper
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Improving sequential recommendation with knowledge-enhanced memory networks. Huang, Jin, et al. SIGIR, 2018. paper
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Learning over Knowledge-Base Embeddings for Recommendation. Zhang, Yongfeng, et al. SIGIR, 2018. paper
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Explainable Reasoning over Knowledge Graphs for Recommendation. Wang, Xiang, et al. AAAI, 2019. paper
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Explainable Recommendation Through Attentive Multi-View Learning. Gao, Jingyue, et al. AAAI, 2019. paper
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Taxonomy-aware multi-hop reasoning networks for sequential recommendation. Huang, Jin, et al. WSDM, 2019. paper
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Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences. Cao, Yixin, et al. WWW, 2019. paper
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Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation. Wang, Hongwei, et al. WWW, 2019 paper
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Adversarial Distillation for Efficient Recommendation with External Knowledge. Chen, Xu, et al. TOIS, 2018 paper
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Knowledge Graph Convolutional Networks for Recommender Systems. Wang, Hongwei, et al. WWWW, 2019 paper
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Dynamic Explainable Recommendation based on Neural Attentive Models. Chen, Xu, et al. AAAI, 2019 paper
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Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization. Wang, Hongwei, et al. KDD, 2019 paper
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KGAT: Knowledge Graph Attention Network for Recommendation. Wang Xiang, et al. KDD, 2019 paper code