3395 search results - page 25 / 679 » Learning to efficiently rank |
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these...
WWW
2007
ACM
14 years 8 months ago
2007
ACM
This paper addresses the desktop search problem by considering various techniques for ranking results of a search query over the file system. First, basic ranking techniques, whic...
ICCBR
2007
Springer
14 years 1 months ago
2007
Springer
The problem of label ranking has recently been introduced as an extension of conventional classification in the field of machine learning. In this paper, we argue that label ran...
CIKM
2000
Springer
14 years 11 hour ago
2000
Springer
RankBoost is a recently proposed algorithm for learning ranking functions. It is simple to implement and has strong justifications from computational learning theory. We describe...
ACL
2009
13 years 5 months ago
2009
Web search quality can vary widely across languages, even for the same information need. We propose to exploit this variation in quality by learning a ranking function on bilingua...