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SIGIR
2012
ACM
11 years 10 months ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
WSDM
2012
ACM
296views Data Mining» more  WSDM 2012»
12 years 3 months ago
Inferring social ties across heterogenous networks
It is well known that different types of social ties have essentially different influence between people. However, users in online social networks rarely categorize their contact...
Jie Tang, Tiancheng Lou, Jon M. Kleinberg
WSDM
2012
ACM
334views Data Mining» more  WSDM 2012»
12 years 3 months ago
mTrust: discerning multi-faceted trust in a connected world
Traditionally, research about trust assumes a single type of trust between users. However, trust, as a social concept, inherently has many facets indicating multiple and heterogen...
Jiliang Tang, Huiji Gao, Huan Liu
CHI
2007
ACM
14 years 8 months ago
Software or wetware?: discovering when and why people use digital prosthetic memory
Our lives are full of memorable and important moments, as well as important items of information. The last few years have seen the proliferation of digital devices intended to sup...
Steve Whittaker, Vaiva Kalnikaité
SAC
2008
ACM
13 years 7 months ago
An efficient feature ranking measure for text categorization
A major obstacle that decreases the performance of text classifiers is the extremely high dimensionality of text data. To reduce the dimension, a number of approaches based on rou...
Songbo Tan, Yuefen Wang, Xueqi Cheng