| Collaborative knowledge base embedding for recommender systems F Zhang, NJ Yuan, D Lian, X Xie, WY Ma Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016 | 1330 | 2016 |
| DKN: Deep knowledge-aware network for news recommendation H Wang, F Zhang, X Xie, M Guo Proceedings of the 2018 world wide web conference, 1835-1844, 2018 | 823 | 2018 |
| Ripplenet: Propagating user preferences on the knowledge graph for recommender systems H Wang, F Zhang, J Wang, M Zhao, W Li, X Xie, M Guo Proceedings of the 27th ACM international conference on information and …, 2018 | 795 | 2018 |
| xdeepfm: Combining explicit and implicit feature interactions for recommender systems J Lian, X Zhou, F Zhang, Z Chen, X Xie, G Sun Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 725 | 2018 |
| DRN: A deep reinforcement learning framework for news recommendation G Zheng, F Zhang, Z Zheng, Y Xiang, NJ Yuan, X Xie, Z Li Proceedings of the 2018 world wide web conference, 167-176, 2018 | 594 | 2018 |
| Graphgan: Graph representation learning with generative adversarial nets H Wang, J Wang, J Wang, M Zhao, W Zhang, F Zhang, X Xie, M Guo Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 586 | 2018 |
| Multi-task feature learning for knowledge graph enhanced recommendation H Wang, F Zhang, M Zhao, W Li, X Xie, M Guo The world wide web conference, 2000-2010, 2019 | 370 | 2019 |
| Knowledge-aware graph neural networks with label smoothness regularization for recommender systems H Wang, F Zhang, M Zhang, J Leskovec, M Zhao, W Li, Z Wang Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 368 | 2019 |
| S3-rec: Self-supervised learning for sequential recommendation with mutual information maximization K Zhou, H Wang, WX Zhao, Y Zhu, S Wang, F Zhang, Z Wang, JR Wen Proceedings of the 29th ACM international conference on information …, 2020 | 311 | 2020 |
| Shine: Signed heterogeneous information network embedding for sentiment link prediction H Wang, F Zhang, M Hou, X Xie, M Guo, Q Liu Proceedings of the eleventh ACM international conference on web search and …, 2018 | 305 | 2018 |
| Sequential recommender system based on hierarchical attention network H Ying, F Zhuang, F Zhang, Y Liu, G Xu, X Xie, H Xiong, J Wu IJCAI International Joint Conference on Artificial Intelligence, 2018 | 299 | 2018 |
| Consert: A contrastive framework for self-supervised sentence representation transfer Y Yan, R Li, S Wang, F Zhang, W Wu, W Xu arXiv preprint arXiv:2105.11741, 2021 | 254 | 2021 |
| You are where you go: Inferring demographic attributes from location check-ins Y Zhong, NJ Yuan, W Zhong, F Zhang, X Xie Proceedings of the eighth ACM international conference on web search and …, 2015 | 185 | 2015 |
| CCCFNet: A content-boosted collaborative filtering neural network for cross domain recommender systems J Lian, F Zhang, X Xie, G Sun Proceedings of the 26th international conference on World Wide Web companion …, 2017 | 131 | 2017 |
| Sensing the pulse of urban refueling behavior F Zhang, D Wilkie, Y Zheng, X Xie Proceedings of the 2013 ACM international joint conference on Pervasive and …, 2013 | 121 | 2013 |
| Beyond the words: Predicting user personality from heterogeneous information H Wei, F Zhang, NJ Yuan, C Cao, H Fu, X Xie, Y Rui, WY Ma Proceedings of the tenth ACM international conference on web search and data …, 2017 | 108 | 2017 |
| We know how you live: exploring the spectrum of urban lifestyles NJ Yuan, F Zhang, D Lian, K Zheng, S Yu, X Xie Proceedings of the first ACM conference on Online social networks, 3-14, 2013 | 107 | 2013 |
| Content-aware collaborative filtering for location recommendation based on human mobility data D Lian, Y Ge, F Zhang, NJ Yuan, X Xie, T Zhou, Y Rui 2015 IEEE international conference on data mining, 261-270, 2015 | 102 | 2015 |
| Multi-modal knowledge graphs for recommender systems R Sun, X Cao, Y Zhao, J Wan, K Zhou, F Zhang, Z Wang, K Zheng Proceedings of the 29th ACM international conference on information …, 2020 | 101 | 2020 |
| Co-attentive multi-task learning for explainable recommendation. Z Chen, X Wang, X Xie, T Wu, G Bu, Y Wang, E Chen IJCAI, 2137-2143, 2019 | 101 | 2019 |
Xing Xie 谢幸Senior Principal Research Manager, Microsoft, CCF Fellow, IEEE Fellow, ACM Distinguished MemberZweryfikowany adres z microsoft.com
