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SIGIR
2008
ACM
13 years 7 months ago
2008
ACM
Some applications have to present their results in the form of ranked lists. This is the case of many information retrieval applications, in which documents must be sorted accordi...
CIKM
2010
Springer
13 years 6 months ago
2010
Springer
Traditional machine-learned ranking algorithms for web search are trained in batch mode, which assume static relevance of documents for a given query. Although such a batch-learni...
COLT
1997
Springer
13 years 11 months ago
1997
Springer
IR
2010
13 years 6 months ago
2010
LETOR is a benchmark collection for the research on learning to rank for information retrieval, released by Microsoft Research Asia. In this paper, we describe the details of the L...
SIGIR
2011
ACM
12 years 10 months ago
2011
ACM
Test collections are the primary drivers of progress in information retrieval. They provide a yardstick for assessing the effectiveness of ranking functions in an automatic, rapi...