354 search results - page 15 / 71 » Top-k learning to rank: labeling, ranking and evaluation |
CIKM
2009
Springer
15 years 4 months ago
2009
Springer
Adapting to rank address the the problem of insufficient domainspecific labeled training data in learning to rank. However, the initial study shows that adaptation is not always...
IAT
2009
IEEE
15 years 4 months ago
2009
IEEE
This paper proposes an automated web site evaluation approach using machine learning to cope with ranking problems. Evaluating web sites is a significant task for web service beca...
78
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IJCNN
2007
IEEE
15 years 4 months ago
2007
IEEE
— Category Ranking is a variant of the multi-label classification problem, in which, rather than performing a (hard) assignment to an object of categories from a predefined set...
CIKM
2009
Springer
15 years 4 months ago
2009
Springer
Traditional boosting algorithms for the ranking problems usually employ the pairwise approach and convert the document rating preference into a binary-value label, like RankBoost....
108
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COLT
2005
Springer
14 years 11 months ago
2005
Springer
Category ranking is the task of ordering labels with respect to their relevance to an input instance. In this paper we describe and analyze several algorithms for online category r...