Shi Wan Zhao  Shi Wan Zhao photo       

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IBM Research - China, Beijing, China



Who is Doing What and When: Social Map-Based Recommendation for Content-Centric Social Web Sites
S. Zhao, M.X. Zhou, X. Zhang, Q. Yuan, W. Zheng, R. Fu
ACM Transactions on Intelligent Systems and Technology (TIST) 3(1), 5, ACM, 2011

Smarter social collaboration at IBM research
Changyan Chi, Qinying Liao, Yingxin Pan, Shiwan Zhao, Tara Matthews, Thomas Moran, Michelle X Zhou, David Millen, Ching-Yung Lin, Ido Guy
Proceedings of the ACM 2011 conference on Computer supported cooperative work, pp. 159--166

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, pp. 245--252, 2011


Multi-label Classification without the Multi-label Cost
X. Zhang, Q. Yuan, S. Zhao, W. Fan, W. Zheng, Z. Wang
Proceedings of the SIAM international conference on data mining (SDM'2010), 778--789

Who is talking about what: social map-based recommendation for content-centric social websites
S. Zhao, M.X. Zhou, Q. Yuan, X. Zhang, W. Zheng, R. Fu
Proceedings of the fourth ACM conference on Recommender systems, pp. 143--150, 2010

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 discovery and data mining, pp. 723--732, 2010


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, pp. 3--10

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 interfaces, pp. 413--416, 2008


A framework for device capability on demand and virtual device user experience
RY Fu, H. Su, JC Fletcher, W. Li, XX Liu, SW Zhao, CY Chi
IBM Journal of research and development 48(5.6), 635--648, IBM, 2004