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» Top-k learning to rank: labeling, ranking and evaluation
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57
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SIGIR
2008
ACM
14 years 9 months ago
Evaluation measures for preference judgments
There has been recent interest in collecting user or assessor preferences, rather than absolute judgments of relevance, for the evaluation or learning of ranking algorithms. Since...
Ben Carterette, Paul N. Bennett
64
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KDD
2006
ACM
123views Data Mining» more  KDD 2006»
15 years 10 months ago
Mining rank-correlated sets of numerical attributes
We study the mining of interesting patterns in the presence of numerical attributes. Instead of the usual discretization methods, we propose the use of rank based measures to scor...
Toon Calders, Bart Goethals, Szymon Jaroszewicz
ECIR
2009
Springer
15 years 6 months ago
Combination of Documents Features Based on Simulated Click-through Data
Many different ranking algorithms based on content and context have been used in web search engines to find pages based on a user query. Furthermore, to achieve better performance ...
Ali Mohammad Zareh Bidoki, James A. Thom
DMIN
2009
142views Data Mining» more  DMIN 2009»
14 years 7 months ago
A Combinatorial Fusion Method for Feature Construction
- This paper demonstrates how methods borrowed from information fusion can improve the performance of a classifier by constructing (i.e., fusing) new features that are combinations...
Ye Tian, Gary M. Weiss, D. Frank Hsu, Qiang Ma
DILS
2005
Springer
15 years 3 months ago
BioNavigation: Selecting Optimum Paths Through Biological Resources to Evaluate Ontological Navigational Queries
Publicly available biological resources form a complex maze of highly heterogeneous data sources, interconnected by navigational capabilities and applications. Although it offers ...
Zoé Lacroix, Kaushal Parekh, Maria-Esther V...