| 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 | 293 | 2018 |
| Content-based collaborative filtering for news topic recommendation Z Lu, Z Dou, J Lian, X Xie, Q Yang Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 116 | 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 | 90 | 2017 |
| Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach. J Lian, F Zhang, X Xie, G Sun IJCAI, 3805-3811, 2018 | 44 | 2018 |
| Mind: A large-scale dataset for news recommendation F Wu, Y Qiao, JH Chen, C Wu, T Qi, J Lian, D Liu, X Xie, J Gao, W Wu, ... Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 32 | 2020 |
| Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation. Z Yu, J Lian, A Mahmoody, G Liu, X Xie IJCAI, 4213-4219, 2019 | 31 | 2019 |
| Relation-aware graph convolutional networks for agent-initiated social e-commerce recommendation F Xu, J Lian, Z Han, Y Li, Y Xu, X Xie Proceedings of the 28th ACM international conference on information and …, 2019 | 25 | 2019 |
| Practical lessons for job recommendations in the cold-start scenario J Lian, F Zhang, M Hou, H Wang, X Xie, G Sun Proceedings of the Recommender Systems Challenge 2017, 1-6, 2017 | 20 | 2017 |
| Restaurant survival analysis with heterogeneous information J Lian, F Zhang, X Xie, G Sun Proceedings of the 26th International Conference on World Wide Web Companion …, 2017 | 20 | 2017 |
| Lightrec: A memory and search-efficient recommender system D Lian, H Wang, Z Liu, J Lian, E Chen, X Xie Proceedings of The Web Conference 2020, 695-705, 2020 | 13 | 2020 |
| Collaborative metric learning with memory network for multi-relational recommender systems X Zhou, D Liu, J Lian, X Xie arXiv preprint arXiv:1906.09882, 2019 | 12 | 2019 |
| Cross-device user matching based on massive browse logs: The runner-up solution for the 2016 CIKM Cup J Lian, X Xie arXiv preprint arXiv:1610.03928, 2016 | 12 | 2016 |
| KRED: Knowledge-Aware Document Representation for News Recommendations D Liu, J Lian, S Wang, Y Qiao, JH Chen, G Sun, X Xie Fourteenth ACM Conference on Recommender Systems, 200-209, 2020 | 10 | 2020 |
| Personalized recommendation systems: Five hot research topics you must know X Xie, J Lian, Z Liu, X Wang, F Wu, H Wang, Z Chen Microsoft Research Lab-Asia, 2018 | 6 | 2018 |
| News Graph: An Enhanced Knowledge Graph for News Recommendation. D Liu, T Bai, J Lian, X Zhao, G Sun, JR Wen, X Xie KaRS@ CIKM, 1-7, 2019 | 4 | 2019 |
| A multifaceted model for cross domain recommendation systems J Lian, F Zhang, X Xie, G Sun International Conference on Knowledge Science, Engineering and Management …, 2017 | 4 | 2017 |
| Self-supervised Graph Learning for Recommendation J Wu, X Wang, F Feng, X He, L Chen, J Lian, X Xie arXiv preprint arXiv:2010.10783, 2020 | 2 | 2020 |
| PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision C Wu, F Wu, T Qi, J Lian, Y Huang, X Xie arXiv preprint arXiv:2010.01494, 2020 | 2 | 2020 |
| Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates Z Liu, J Lian, J Yang, D Lian, X Xie Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 2 | 2020 |
| A Novel User Representation Paradigm for Making Personalized Candidate Retrieval Z Liu, Y Xing, J Lian, D Lian, Z Li, X Xie arXiv preprint arXiv:1907.06323, 2019 | 2 | 2019 |
Xing Xie 谢幸Senior Principal Research Manager, Microsoft (Microsoft Research Asia, China)Verified email at microsoft.com
