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» Top-k learning to rank: labeling, ranking and evaluation
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SIGIR
2009
ACM
15 years 4 months ago
Smoothing clickthrough data for web search ranking
Incorporating features extracted from clickthrough data (called clickthrough features) has been demonstrated to significantly improve the performance of ranking models for Web sea...
Jianfeng Gao, Wei Yuan, Xiao Li, Kefeng Deng, Jian...
BMCBI
2010
147views more  BMCBI 2010»
14 years 9 months ago
Indirect two-sided relative ranking: a robust similarity measure for gene expression data
Background: There is a large amount of gene expression data that exists in the public domain. This data has been generated under a variety of experimental conditions. Unfortunatel...
Louis Licamele, Lise Getoor
PAMI
2012
13 years 3 days ago
CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts
—We present a novel framework to generate and rank plausible hypotheses for the spatial extent of objects in images using bottom-up computational processes and mid-level selectio...
João Carreira, Cristian Sminchisescu
CIKM
2008
Springer
14 years 11 months ago
Efficient and effective link analysis with precomputed salsa maps
SALSA is a link-based ranking algorithm that takes the result set of a query as input, extends the set to include additional neighboring documents in the web graph, and performs a...
Marc Najork, Nick Craswell
64
Voted
ACL
2007
14 years 11 months ago
Automatic Acquisition of Ranked Qualia Structures from the Web
This paper presents an approach for the automatic acquisition of qualia structures for nouns from the Web and thus opens the possibility to explore the impact of qualia structures...
Philipp Cimiano, Johanna Wenderoth