131 search results - page 1 / 27 » Pairwise Preference Learning and Ranking |
AI
2008
Springer
13 years 11 months ago
2008
Springer
Preference learning is a challenging problem that involves the prediction of complex structures, such as weak or partial order relations, rather than single values. In the recent ...
ECML
2003
Springer
14 years 4 months ago
2003
Springer
We consider supervised learning of a ranking function, which is a mapping from instances to total orders over a set of labels (options). The training information consists of exampl...
SIGIR
2006
ACM
14 years 4 months ago
2006
ACM
We introduce a novel approach to combining rankings from multiple retrieval systems. We use a logistic regression model or an SVM to learn a ranking from pairwise document prefere...
CIKM
2008
Springer
14 years 25 days ago
2008
Springer
Many of the recently proposed algorithms for learning feature-based ranking functions are based on the pairwise preference framework, in which instead of taking documents in isola...
IDA
2005
Springer
14 years 4 months ago
2005
Springer
We consider the problem of learning a ranking function, that is a mapping from instances to rankings over a finite number of labels. Our learning method, referred to as ranking by...