266 search results - page 11 / 54 » Parallel learning to rank for information retrieval |
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...
WWW
2008
ACM
14 years 8 months ago
2008
ACM
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
CLEF
2006
Springer
13 years 11 months ago
2006
Springer
This paper describes our participation in the GeoCLEF monolingual English task of the Cross Language Evaluation Forum 2006. The main objective of this study is to evaluate the retr...
WSDM
2010
ACM
14 years 5 months ago
2010
ACM
Queries describe the users' search intent and therefore they play an essential role in the context of ranking for information retrieval and Web search. However, most of exist...
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
The problem of combining the ranked preferences of many experts is an old and surprisingly deep problem that has gained renewed importance in many machine learning, data mining, a...