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» Ranking Retrieval Systems with Partial Relevance Judgements
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JUCS
2008
117views more  JUCS 2008»
13 years 11 months ago
Ranking Retrieval Systems with Partial Relevance Judgements
: Some measures such as mean average precision and recall level precision are considered as good system-oriented measures, because they concern both precision and recall that are t...
Shengli Wu, Fabio Crestani
AMR
2006
Springer
108views Multimedia» more  AMR 2006»
14 years 2 months ago
Variation of Relevance Assessments for Medical Image Retrieval
Abstract. Evaluation is crucial for the success of most research domains, and image retrieval is no exception to this. Recently, several benchmarks have been developed for visual i...
Henning Müller, Paul Clough, William R. Hersh...
ICDIM
2007
IEEE
14 years 5 months ago
Several methods of ranking retrieval systems with partial relevance judgment
: Some measures such as average precision over all relevant documents and recall level precision are considered as good system-oriented measures, because they concern both precisio...
Shengli Wu, Sally I. McClean
CLEF
2010
Springer
13 years 8 months ago
Examining the Robustness of Evaluation Metrics for Patent Retrieval with Incomplete Relevance Judgements
Recent years have seen a growing interest in research into patent retrieval. One of the key issues in conducting information retrieval (IR) research is meaningful evaluation of the...
Walid Magdy, Gareth J. F. Jones
SPIRE
2005
Springer
14 years 4 months ago
Retrieval Status Values in Information Retrieval Evaluation
Retrieval systems rank documents according to their retrieval status values (RSV) if these are monotonously increasing with the probability of relevance of documents. In this work,...
Amélie Imafouo, Xavier Tannier