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WWW
2008
ACM
15 years 10 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
KDD
2009
ACM
194views Data Mining» more  KDD 2009»
15 years 10 months ago
Combining link and content for community detection: a discriminative approach
In this paper, we consider the problem of combining link and content analysis for community detection from networked data, such as paper citation networks and Word Wide Web. Most ...
Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu
KDD
2007
ACM
141views Data Mining» more  KDD 2007»
15 years 10 months ago
Mining favorable facets
The importance of dominance and skyline analysis has been well recognized in multi-criteria decision making applications. Most previous studies assume a fixed order on the attribu...
Raymond Chi-Wing Wong, Jian Pei, Ada Wai-Chee Fu, ...
KDD
2007
ACM
201views Data Mining» more  KDD 2007»
15 years 10 months ago
Structural and temporal analysis of the blogosphere through community factorization
The blogosphere has unique structural and temporal properties since blogs are typically used as communication media among human individuals. In this paper, we propose a novel tech...
Yun Chi, Shenghuo Zhu, Xiaodan Song, Jun'ichi Tate...
CHI
2006
ACM
15 years 10 months ago
Being watched or being special: how I learned to stop worrying and love being monitored, surveilled, and assessed
This paper explores the relationship between display of feedback (public vs. private) by a computer system and the basis for evaluation (present vs. absent) of that feedback. We e...
Erica Robles, Abhay Sukumaran, Kathryn Rickertsen,...