448 search results - page 17 / 90 » Directly optimizing evaluation measures in learning to rank |
69
Voted
ACL
2006
14 years 11 months ago
2006
This paper proposes a framework for training Conditional Random Fields (CRFs) to optimize multivariate evaluation measures, including non-linear measures such as F-score. Our prop...
IR
2010
14 years 8 months ago
2010
Abstract We present a new ranking algorithm that combines the strengths of two previous methods: boosted tree classification, and LambdaRank, which has been shown to be empiricall...
DASFAA
2007
IEEE
15 years 4 months ago
2007
IEEE
Nowadays many data mining/analysis applications use the graph analysis techniques for decision making. Many of these techniques are based on the importance of relationships among t...
71
Voted
EMNLP
2008
14 years 11 months ago
2008
We consider a parsed text corpus as an instance of a labelled directed graph, where nodes represent words and weighted directed edges represent the syntactic relations between the...
80
Voted
WWW
2007
ACM
15 years 10 months ago
2007
ACM
This paper is concerned with rank aggregation, the task of combining the ranking results of individual rankers at meta-search. Previously, rank aggregation was performed mainly by...