1605 search results - page 36 / 321 » Metric Learning to Rank |
SIGIR
2006
ACM
14 years 3 months ago
2006
ACM
The paper is concerned with applying learning to rank to document retrieval. Ranking SVM is a typical method of learning to rank. We point out that there are two factors one must ...
ML
2010
ACM
13 years 4 months ago
2010
ACM
Graph representations of data are increasingly common. Such representations arise in a variety of applications, including computational biology, social network analysis, web applic...
ECIR
2011
Springer
13 years 1 months ago
2011
Springer
Abstract. As retrieval systems become more complex, learning to rank approaches are being developed to automatically tune their parameters. Using online learning to rank approaches...
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
This paper gives an efficient Bayesian method for inferring the parameters of a PlackettLuce ranking model. Such models are parameterised distributions over rankings of a finite s...
ISNN
2009
Springer
14 years 4 months ago
2009
Springer
In this paper, we introduce a new instance-based approach to the label ranking problem. This approach is based on a probability model on rankings which is known as the Mallows mode...