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@article{sun2017collaborative,
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	journal={ACM Transactions on Information Systems (TOIS)},
	volume={35},
	number={4},
	pages={1--33},
	year={2017},
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}

@inproceedings{zou2020survey,
	title={A survey on application of knowledge graph},
	author={Zou, Xiaohan},
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}

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	volume={2},
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@article{singhal2012introducing,
	title={Introducing the knowledge graph: things, not strings},
	author={Singhal, Amit},
	journal={Official google blog},
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	year={2012}
}

@inproceedings{bordes2013translating,
	title={Translating embeddings for modeling multi-relational data},
	author={Bordes, Antoine and Usunier, Nicolas and Garcia-Duran, Alberto and Weston, Jason and Yakhnenko, Oksana},
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	year={2013}
}

@inproceedings{wang2014knowledge,
	title={Knowledge graph embedding by translating on hyperplanes},
	author={Wang, Zhen and Zhang, Jianwen and Feng, Jianlin and Chen, Zheng},
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}

@inproceedings{lin2015learning,
	title={Learning entity and relation embeddings for knowledge graph completion},
	author={Lin, Yankai and Liu, Zhiyuan and Sun, Maosong and Liu, Yang and Zhu, Xuan},
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	volume={29},
	number={1},
	year={2015}
}

@article{yang2014embedding,
	title={Embedding entities and relations for learning and inference in knowledge bases},
	author={Yang, Bishan and Yih, Wen-tau and He, Xiaodong and Gao, Jianfeng and Deng, Li},
	journal={arXiv preprint arXiv:1412.6575},
	year={2014}
}

@article{lin2015modeling,
	title={Modeling relation paths for representation learning of knowledge bases},
	author={Lin, Yankai and Liu, Zhiyuan and Luan, Huanbo and Sun, Maosong and Rao, Siwei and Liu, Song},
	journal={arXiv preprint arXiv:1506.00379},
	year={2015}
}

@article{guu2015traversing,
	title={Traversing knowledge graphs in vector space},
	author={Guu, Kelvin and Miller, John and Liang, Percy},
	journal={arXiv preprint arXiv:1506.01094},
	year={2015}
}

@inproceedings{toutanova2016compositional,
	title={Compositional learning of embeddings for relation paths in knowledge base and text},
	author={Toutanova, Kristina and Lin, Xi Victoria and Yih, Wen-tau and Poon, Hoifung and Quirk, Chris},
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	pages={1434--1444},
	year={2016}
}

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@inproceedings{koren2008factorization,
	title={Factorization meets the neighborhood: a multifaceted collaborative filtering model},
	author={Koren, Yehuda},
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	pages={426--434},
	year={2008}
}

@inproceedings{wang2018shine,
	title={Shine: Signed heterogeneous information network embedding for sentiment link prediction},
	author={Wang, Hongwei and Zhang, Fuzheng and Hou, Min and Xie, Xing and Guo, Minyi and Liu, Qi},
	booktitle={Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining},
	pages={592--600},
	year={2018}
}

@inproceedings{wang2018dkn,
	title={DKN: Deep knowledge-aware network for news recommendation},
	author={Wang, Hongwei and Zhang, Fuzheng and Xie, Xing and Guo, Minyi},
	booktitle={Proceedings of the 2018 world wide web conference},
	pages={1835--1844},
	year={2018}
}

@article{sun2017collaborative,
	title={Collaborative intent prediction with real-time contextual data},
	author={Sun, Yu and Yuan, Nicholas Jing and Xie, Xing and McDonald, Kieran and Zhang, Rui},
	journal={ACM Transactions on Information Systems (TOIS)},
	volume={35},
	number={4},
	pages={1--33},
	year={2017},
	publisher={ACM New York, NY, USA}
}

@inproceedings{zhang2016collaborative,
	title={Collaborative knowledge base embedding for recommender systems},
	author={Zhang, Fuzheng and Yuan, Nicholas Jing and Lian, Defu and Xie, Xing and Ma, Wei-Ying},
	booktitle={Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining},
	pages={353--362},
	year={2016}
}

@inproceedings{wang2018shine,
	title={Shine: Signed heterogeneous information network embedding for sentiment link prediction},
	author={Wang, Hongwei and Zhang, Fuzheng and Hou, Min and Xie, Xing and Guo, Minyi and Liu, Qi},
	booktitle={Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining},
	pages={592--600},
	year={2018}
}

@inproceedings{yu2014personalized,
	title={Personalized entity recommendation: A heterogeneous information network approach},
	author={Yu, Xiao and Ren, Xiang and Sun, Yizhou and Gu, Quanquan and Sturt, Bradley and Khandelwal, Urvashi and Norick, Brandon and Han, Jiawei},
	booktitle={Proceedings of the 7th ACM international conference on Web search and data mining},
	pages={283--292},
	year={2014}
}

@article{rendle2012factorization,
	title={Factorization machines with libfm},
	author={Rendle, Steffen},
	journal={ACM Transactions on Intelligent Systems and Technology (TIST)},
	volume={3},
	number={3},
	pages={1--22},
	year={2012},
	publisher={ACM New York, NY, USA}
}

@inproceedings{cheng2016wide,
	title={Wide \& deep learning for recommender systems},
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	booktitle={Proceedings of the 1st workshop on deep learning for recommender systems},
	pages={7--10},
	year={2016}
}

@inproceedings{wang2018dkn,
	title={DKN: Deep knowledge-aware network for news recommendation},
	author={Wang, Hongwei and Zhang, Fuzheng and Xie, Xing and Guo, Minyi},
	booktitle={Proceedings of the 2018 world wide web conference},
	pages={1835--1844},
	year={2018}
}

@article{漆桂林2017知识图谱研究进展,
	title={知识图谱研究进展},
	author={漆桂林 and 高桓 and 吴天星},
	journal={情报工程},
	volume={3},
	number={1},
	pages={004--025},
	year={2017}
}

@article{徐增林2016知识图谱技术综述,
	title={知识图谱技术综述},
	author={徐增林 and 盛泳潘 and 贺丽荣 and 王雅芳},
	year={2016},
	publisher={电子科技大学学报自然版}
}

@article{李涓子2017知识图谱研究综述,
	title={知识图谱研究综述},
	author={李涓子 and 侯磊 and others},
	journal={山西大学学报 (自然科学版)},
	number={2017 年 03},
	pages={454--459},
	year={2017},
	publisher={山西大学}
}

@article{曹倩2015知识图谱的技术实现流程及相关应用,
	title={知识图谱的技术实现流程及相关应用},
	author={曹倩 and 赵一鸣},
	journal={情报理论与实践},
	volume={38},
	number={12},
	pages={13--18},
	year={2015}
}

@inproceedings{tang2019akupm,
	title={AKUPM: Attention-enhanced knowledge-aware user preference model for recommendation},
	author={Tang, Xiaoli and Wang, Tengyun and Yang, Haizhi and Song, Hengjie},
	booktitle={Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining},
	pages={1891--1899},
	year={2019}
}

@inproceedings{cao2019unifying,
	title={Unifying knowledge graph learning and recommendation: Towards a better understanding of user preferences},
	author={Cao, Yixin and Wang, Xiang and He, Xiangnan and Hu, Zikun and Chua, Tat-Seng},
	booktitle={The world wide web conference},
	pages={151--161},
	year={2019}
}

@inproceedings{zhao2017meta,
	title={Meta-graph based recommendation fusion over heterogeneous information networks},
	author={Zhao, Huan and Yao, Quanming and Li, Jianda and Song, Yangqiu and Lee, Dik Lun},
	booktitle={Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
	pages={635--644},
	year={2017}
}

@inproceedings{sun2018recurrent,
	title={Recurrent knowledge graph embedding for effective recommendation},
	author={Sun, Zhu and Yang, Jie and Zhang, Jie and Bozzon, Alessandro and Huang, Long-Kai and Xu, Chi},
	booktitle={Proceedings of the 12th ACM Conference on Recommender Systems},
	pages={297--305},
	year={2018}
}

@inproceedings{wang2018ripplenet,
	title={Ripplenet: Propagating user preferences on the knowledge graph for recommender systems},
	author={Wang, Hongwei and Zhang, Fuzheng and Wang, Jialin and Zhao, Miao and Li, Wenjie and Xie, Xing and Guo, Minyi},
	booktitle={Proceedings of the 27th ACM International Conference on Information and Knowledge Management},
	pages={417--426},
	year={2018}
}

@article{黄立威2018基于深度学习的推荐系统研究综述,
	title={基于深度学习的推荐系统研究综述},
	author={黄立威 and 江碧涛 and 吕守业 and 刘艳博 and 李德毅},
	journal={计算机学报},
	volume={41},
	number={7},
	pages={1619--1647},
	year={2018}
}

@article{常亮2019知识图谱的推荐系统综述,
	title={知识图谱的推荐系统综述},
	author={常亮 and 张伟涛 and 古天龙 and 孙文平 and 宾辰忠 and others},
	journal={智能系统学报},
	volume={14},
	number={2},
	pages={207--216},
	year={2019}
}

@mastersthesis{王一鸣2018基于知识图谱的推荐技术研究及应用,
	title={基于知识图谱的推荐技术研究及应用},
	author={王一鸣},
	year={2018},
	school={电子科技大学}
}