41 search results - page 4 / 9 » A Full-Text Learning to Rank Dataset for Medical Information... |
CVPR
2010
IEEE
13 years 11 months ago
2010
IEEE
In this paper, we propose a new transductive learning framework for image retrieval, in which images are taken as vertices in a weighted hypergraph and the task of image search is...
ECIR
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Learning ranking functions is crucial for solving many problems, ranging from document retrieval to building recommendation systems based on an individual user’s prefer...
AIRS
2010
Springer
13 years 3 months ago
2010
Springer
This paper is concerned with relevance ranking in search, particularly that using term dependency information. It proposes a novel and unified approach to relevance ranking using ...
WSDM
2012
ACM
12 years 1 months ago
2012
ACM
A key element of the social networks on the internet such as Facebook and Flickr is that they encourage users to create connections between themselves, other users and objects. On...
CIKM
2009
Springer
14 years 10 days ago
2009
Springer
Traditional boosting algorithms for the ranking problems usually employ the pairwise approach and convert the document rating preference into a binary-value label, like RankBoost....