Temporal recommendation on graphs via long-and short-term preference fusion L Xiang, Q Yuan, S Zhao, L Chen, X Zhang, Q Yang, J Sun Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 493 | 2010 |
Multiagent Bidirectionally-Coordinated Nets for Learning to Play StarCraft Combat Games P Peng, Q Yuan, Y Wen, Y Yang, Z Tang, H Long, J Wang arXiv:1703.10069 [cs.AI], 2017 | 451* | 2017 |
Improved recommendation based on collaborative tagging behaviors S Zhao, N Du, A Nauerz, X Zhang, Q Yuan, R Fu Proceedings of the 13th international conference on Intelligent user …, 2008 | 142 | 2008 |
Factorization vs. regularization: fusing heterogeneous social relationships in top-n recommendation Q Yuan, L Chen, S Zhao Proceedings of the fifth ACM conference on Recommender systems, 245-252, 2011 | 135 | 2011 |
How serendipity improves user satisfaction with recommendations? a large-scale user evaluation L Chen, Y Yang, N Wang, K Yang, Q Yuan The world wide web conference, 240-250, 2019 | 69 | 2019 |
Augmenting collaborative recommender by fusing explicit social relationships Q Yuan, S Zhao, L Chen, Y Liu, S Ding, X Zhang, W Zheng Workshop on Recommender Systems and the Social Web, Recsys 2009, 2009 | 63 | 2009 |
Multi-label classification without the multi-label cost X Zhang, Q Yuan, S Zhao, W Fan, W Zheng, Z Wang Proceedings of the 2010 SIAM International Conference on Data Mining, 778-789, 2010 | 61 | 2010 |
Who is talking about what: social map-based recommendation for content-centric social websites S Zhao, MX Zhou, Q Yuan, X Zhang, W Zheng, R Fu Proceedings of the fourth ACM conference on Recommender systems, 143-150, 2010 | 45 | 2010 |
A unified framework for recommending items, groups and friends in social media environment via mutual resource fusion L Chen, W Zeng, Q Yuan Expert Systems with Applications 40 (8), 2889-2903, 2013 | 35 | 2013 |
Life-stage prediction for product recommendation in e-commerce P Jiang, Y Zhu, Y Zhang, Q Yuan Proceedings of the 21th ACM SIGKDD international conference on Knowledge …, 2015 | 34 | 2015 |
Quantitative assessment of the intracranial vasculature in an older adult population using iCafe L Chen, J Sun, DS Hippe, N Balu, Q Yuan, I Yuan, X Zhao, R Li, L He, ... Neurobiology of aging 79, 59-65, 2019 | 22 | 2019 |
Who is doing what and when: Social map-based recommendation for content-centric social web sites S Zhao, MX Zhou, X Zhang, Q Yuan, W Zheng, R Fu ACM Transactions on Intelligent Systems and Technology (TIST) 3 (1), 1-23, 2011 | 17 | 2011 |
Quantification of morphometry and intensity features of intracranial arteries from 3D TOF MRA using the intracranial artery feature extraction (iCafe): a reproducibility study L Chen, M Mossa-Basha, J Sun, DS Hippe, N Balu, Q Yuan, K Pimentel, ... Magnetic resonance imaging 57, 293-302, 2019 | 14 | 2019 |
Boosting collaborative filtering based on statistical prediction errors S Ding, S Zhao, Q Yuan, X Zhang, R Fu, L Bergman Proceedings of the 2008 ACM conference on Recommender systems, 3-10, 2008 | 13 | 2008 |
Augmenting collaborative recommenders by fusing social relationships: Membership and friendship JJ Pazos Arias, A Fernández Vilas, RP Díaz Redondo, Q Yuan, L Chen, ... Recommender systems for the social web, 159-175, 2012 | 9 | 2012 |
Method and System for Prompting Changes of Electronic Document Content X Wu, Q Yuan, XT Zhang, S Zhao US Patent App. 13/074,182, 2011 | 9 | 2011 |
Large scale product graph construction for recommendation in e-commerce X Yang, Y Zhu, Y Zhang, X Wang, Q Yuan arXiv preprint arXiv:2010.05525, 2020 | 8 | 2020 |
Method and system for user information processing and resource recommendation in a network environment RY Fu, W Gao, T Wang, Q Yuan, XT Zhang, S Zhao US Patent 8,433,758, 2013 | 6 | 2013 |
Generating recommended items in unfamiliar domain X Wu, Q Yuan, XT Zhang, S Zhao US Patent 9,785,954, 2017 | 5 | 2017 |
Recommending tags based on user ratings SH Bao, X Wu, Q Yuan, S Zhao US Patent 9,134,957, 2015 | 4 | 2015 |