2164 search results - page 75 / 433 » Learning to rank for information retrieval |
89
Voted
IIR
2010
14 years 11 months ago
2010
Given a classifier trained on relatively few training examples, active learning (AL) consists in ranking a set of unlabeled examples in terms of how informative they would be, if ...
ICML
2010
IEEE
14 years 11 months ago
2010
IEEE
This paper introduces two new methods for label ranking based on a probabilistic model of ranking data, called the Plackett-Luce model. The idea of the first method is to use the ...
HT
2006
ACM
15 years 3 months ago
2006
ACM
In this paper, an approach for the implementation of a qualitybased Web search engine is proposed. Quality retrieval is introduced and an overview on previous efforts to implement...
WWW
2003
ACM
15 years 10 months ago
2003
ACM
This paper describes a new paradigm for modeling traffic levels on the world wide web (WWW) using a method of entropy maximization. This traffic is subject to the conservation con...
CLEF
2007
Springer
15 years 4 months ago
2007
Springer
We describe our participation in the WebCLEF 2007 task, targeted at snippet retrieval from web data. Our system ranks snippets based on a simple similarity-based centrality, inspir...