155 search results - page 13 / 31 » On learning linear ranking functions for beam search |
ICML
2004
IEEE
14 years 1 months ago
2004
IEEE
This paper introduces RankOpt, a linear binary classifier which optimises the area under the ROC curve (the AUC). Unlike standard binary classifiers, RankOpt adopts the AUC stat...
WSDM
2012
ACM
12 years 3 months ago
2012
ACM
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
CIKM
2009
Springer
14 years 2 months ago
2009
Springer
Despite the widespread use of BM25, there have been few studies examining its effectiveness on a document description over single and multiple field combinations. We determine t...
ECIR
2009
Springer
14 years 4 months ago
2009
Springer
Ranking for multilingual information retrieval (MLIR) is a task to rank documents of different languages solely based on their relevancy to the query regardless of query’s langu...
PKDD
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. We present a novel approach for classification using a discretised function representation which is independent of the data locations. We construct the classifier as a su...