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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
IEEECIT
2006
IEEE
14 years 1 months ago
Research on a Mechanism for Assisting Service Retrieval
Through as an important part of service-oriented system architecture, service retrieval receives much attention from industry and academia and many methods have been proposed, the...
Bin Tang, Leqiu Qian, Ruzhi Xu, Yunjiao Xue, Hui T...
KDD
2010
ACM
257views Data Mining» more  KDD 2010»
13 years 11 months ago
Multi-task learning for boosting with application to web search ranking
In this paper we propose a novel algorithm for multi-task learning with boosted decision trees. We learn several different learning tasks with a joint model, explicitly addressing...
Olivier Chapelle, Pannagadatta K. Shivaswamy, Srin...
EDBT
2004
ACM
139views Database» more  EDBT 2004»
14 years 7 months ago
Efficient Distributed Skylining for Web Information Systems
Though skyline queries already have claimed their place in retrieval over central databases, their application in Web information systems up to now was impossible due to the distri...
Wolf-Tilo Balke, Ulrich Güntzer, Jason Xin Zh...
JCDL
2011
ACM
218views Education» more  JCDL 2011»
12 years 10 months ago
Retrieving attributes using web tables
In this paper we propose an attribute retrieval approach which extracts and ranks attributes from Web tables. We use simple heuristics to filter out improbable attributes and we ...
Arlind Kopliku, Karen Pinel-Sauvagnat, Mohand Boug...