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» Crowdsourcing for relevance evaluation
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SIGIR
2006
ACM
14 years 1 months ago
Improving the estimation of relevance models using large external corpora
Information retrieval algorithms leverage various collection statistics to improve performance. Because these statistics are often computed on a relatively small evaluation corpus...
Fernando Diaz, Donald Metzler
CHI
2009
ACM
14 years 10 days ago
Discriminating the relevance of web search results with measures of pupil size
The overwhelming amount of information on the web makes it critical for users to quickly and accurately evaluate the relevance of content. Here we tested whether pupil size can be...
Flavio T. P. Oliveira, Anne Aula, Daniel M. Russel...
JASIS
2008
121views more  JASIS 2008»
13 years 7 months ago
Experiments with transitive dictionary translation and pseudo-relevance feedback using graded relevance assessments
Research on cross-language information retrieval (CLIR) has typically been restricted to settings using binary relevance assessments. In this paper, we present evaluation results f...
Raija Lehtokangas, Heikki Keskustalo, Kalervo J&au...
PEPM
2010
ACM
14 years 4 months ago
Making "stricterness" more relevant
Adapting a strictness analyser to have it take into account explicit strictness annotations can be a tricky business. Straightforward extensions of analyses based on relevance typ...
Stefan Holdermans, Jurriaan Hage
AUSAI
2008
Springer
13 years 9 months ago
Learning to Find Relevant Biological Articles without Negative Training Examples
Classifiers are traditionally learned using sets of positive and negative training examples. However, often a classifier is required, but for training only an incomplete set of pos...
Keith Noto, Milton H. Saier Jr., Charles Elkan