448 search results - page 13 / 90 » Directly optimizing evaluation measures in learning to rank |
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Voted
AAAI
2008
15 years 13 min ago
2008
Ranking plays a central role in many Web search and information retrieval applications. Ensemble ranking, sometimes called meta-search, aims to improve the retrieval performance b...
SIGIR
2010
ACM
15 years 1 months ago
2010
ACM
Evaluation metrics play a critical role both in the context of comparative evaluation of the performance of retrieval systems and in the context of learning-to-rank (LTR) as objec...
IJCAI
2007
14 years 11 months ago
2007
Evaluation measures play an important role in machine learning because they are used not only to compare different learning algorithms, but also often as goals to optimize in cons...
ICANN
2009
Springer
15 years 4 months ago
2009
Springer
Model complexity is key concern to any artificial learning system due its critical impact on generalization. However, EC research has only focused phenotype structural complexity ...
ECIR
2010
Springer
14 years 11 months ago
2010
Springer
Abstract. Learning To Rank (LTR) techniques aim to learn an effective document ranking function by combining several document features. While the function learned may be uniformly ...