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  booktitle = {Proceedings of the 26th international conference on world wide web},
  pages     = {173--182},
  year      = {2017},
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@article{sun2017collaborative,
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  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},
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}

@inproceedings{zou2020survey,
  title     = {A survey on application of knowledge graph},
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  volume    = {1487},
  number    = {1},
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}

@article{jafarkarimi2012naive,
  title     = {A naive recommendation model for large databases},
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  number    = {3},
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@article{singhal2012introducing,
  title   = {Introducing the knowledge graph: things, not strings},
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@inproceedings{bordes2013translating,
  title     = {Translating embeddings for modeling multi-relational data},
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  booktitle = {Neural Information Processing Systems (NIPS)},
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@inproceedings{wang2014knowledge,
  title     = {Knowledge graph embedding by translating on hyperplanes},
  author    = {Wang, Zhen and Zhang, Jianwen and Feng, Jianlin and Chen, Zheng},
  booktitle = {Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence},
  pages     = {1112--1119},
  volume    = {28},
  number    = {1},
  year      = {2014},
  publisher = {AAAI Press},
  editor    = {AAAI},
  location  = {Menlo Park}
}

@article{lin2017learning,
  title     = {Learning Entity and Relation Embeddings for Knowledge Resolution},
  author    = {Lin, Hailun and Liu, Yong and Wang, Weiping and Yue, Yinliang and Lin, Zheng},
  journal   = {Procedia Computer Science},
  volume    = {108},
  pages     = {345--354},
  year      = {2017},
  publisher = {Elsevier}
}

@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 e-prints},
  pages   = {1412--1423},
  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 e-prints},
  pages   = {1506--1515},
  year    = {2015}
}

@inproceedings{guu2015traversing,
  title     = {Traversing Knowledge Graphs in Vector Space},
  author    = {Guu, Kelvin and Miller, John and Liang, Percy},
  booktitle = {Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing},
  pages     = {318--327},
  year      = {2015},
  publisher = {Association for Computational Linguistics},
  location  = {Lisbon},
  editor    = {Lluís Màrquez, Chris Callison-Burch, Jian Su}
}

@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},
  booktitle = {Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  pages     = {1434--1444},
  year      = {2016},
  location  = {Berlin},
  editor    = {Katrin Erk},
  publisher = {Association for Computational Linguistics}
}

@book{fielding2000architectural,
  title     = {Architectural styles and the design of network-based software architectures},
  author    = {Fielding, Roy T},
  volume    = {7},
  year      = {2000},
  publisher = {University of California, Irvine Irvine},
  pages     = {1--4},
  location       = {Berkeley},
}

@inproceedings{koren2008factorization,
  title     = {Factorization meets the neighborhood: a multifaceted collaborative filtering model},
  author    = {Koren, Yehuda},
  booktitle = {Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining},
  pages     = {426--434},
  year      = {2008},
  publisher = {Association for Computing Machinery},
  editor    = {Ying Li},
  location  = {New York}
}

@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},
  publisher = {Association for Computing Machinery},
  editor    = {Yi Chang},
  location  = {New York}
}

@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},
  publisher = {	
International World Wide Web Conferences Steering Committee},
  location  = {Republic and Canton of Geneva},
  editor    = {Pierre-Antoine Champin}
}

@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},
  editor    = {Balaji Krishnapuram},
  location  = {New York},
  publisher = {Association for Computing Machinery}
}

@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},
  editor    = {Yi Chang},
  location  = {New York},
  publisher = {Association for Computing Machinery}
}

@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},
  author    = {Cheng, Heng-Tze and Koc, Levent and Harmsen, Jeremiah and Shaked, Tal and Chandra, Tushar and Aradhye, Hrishi and Anderson, Glen and Corrado, Greg and Chai, Wei and Ispir, Mustafa and others},
  booktitle = {Proceedings of the 1st workshop on deep learning for recommender systems},
  pages     = {7--10},
  year      = {2016},
  editor    = {Alexandros Karatzoglou},
  location  = {New York},
  publisher = {Association for Computing Machinery}
}

@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},
  editor    = {Pierre-Antoine Champin},
  location  = {Republic and Canton of Geneva},
  publisher = {International World Wide Web Conferences Steering Committee}
}

@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,盛泳潘,贺丽荣,王雅芳},
  journal = {电子科技大学学报},
  volume          = {1},
  number  = {4},
  pages   = {589-606}
}

@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    = {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},
  editor    = {Ankur Teredesai},
  publisher = {Association for Computing Machinery},
  location  = {New York}
}

@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},
  editor    = {Ling Liu},
  publisher = {Association for Computing Machinery},
  location  = {New York}
}

@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},
  editor    = {Stan Matwin},
  publisher = {Association for Computing Machinery},
  location  = {New York}
}

@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},
  editor    = {Sole Pera},
  publisher = {Association for Computing Machinery},
  location  = {New York}
}

@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},
  editor    = {Alfredo Cuzzocrea},
  publisher = {Association for Computing Machinery},
  location  = {New York}
}

@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}
}

@article{秦川2020基于知识图谱的推荐系统研究综述,
  title   = {基于知识图谱的推荐系统研究综述},
  author  = {秦川 and 祝恒书 and 庄福振 and 郭庆宇 and 张琦 and 张乐 and 王超 and 陈恩红 and 熊辉},
  journal = {中国科学:信息科学},
  number  = {7},
  pages   = {937-956},
  year    = {2020}
}