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 | 694 | 2018 |
Self-supervised graph learning for recommendation J Wu, X Wang, F Feng, X He, L Chen, J Lian, X Xie Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 289 | 2021 |
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 | 215 | 2020 |
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 | 163 | 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 | 125 | 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 | 96 | 2018 |
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 | 94 | 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 | 63 | 2019 |
KRED: Knowledge-aware document representation for news recommendations D Liu, J Lian, S Wang, Y Qiao, JH Chen, G Sun, X Xie Proceedings of the 14th ACM Conference on Recommender Systems, 200-209, 2020 | 57 | 2020 |
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 | 43 | 2020 |
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 | 32 | 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 | 31 | 2017 |
Graph convolution machine for context-aware recommender system J Wu, X He, X Wang, Q Wang, W Chen, J Lian, X Xie Frontiers of Computer Science 16 (6), 166614, 2022 | 27 | 2022 |
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 | 27 | 2019 |
Reinforced anchor knowledge graph generation for news recommendation reasoning D Liu, J Lian, Z Liu, X Wang, G Sun, X Xie Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 25 | 2021 |
Lighter and better: low-rank decomposed self-attention networks for next-item recommendation X Fan, Z Liu, J Lian, WX Zhao, X Xie, JR Wen Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 25 | 2021 |
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 | 15 | 2019 |
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 | 15 | 2018 |
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 | 13 | 2016 |
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 | 11 | 2020 |