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» A new evaluation measure for information retrieval systems
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SIGIR
2005
ACM
14 years 1 months ago
The maximum entropy method for analyzing retrieval measures
We present a model, based on the maximum entropy method, for analyzing various measures of retrieval performance such as average precision, R-precision, and precision-at-cutoffs....
Javed A. Aslam, Emine Yilmaz, Virgiliu Pavlu
IRI
2008
IEEE
14 years 2 months ago
Biological question answering with syntactic and semantic feature matching and an improved mean reciprocal ranking measurement
Specific information on biomolecular events such as protein-protein and gene-protein interactions is essential for molecular biology researchers. However, the results derived by c...
Ryan T. K. Lin, Justin Liang-Te Chiu, Hong-Jie Dai...
JUCS
2008
117views more  JUCS 2008»
13 years 7 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
SIGIR
2006
ACM
14 years 1 months ago
A statistical method for system evaluation using incomplete judgments
We consider the problem of large-scale retrieval evaluation, and we propose a statistical method for evaluating retrieval systems using incomplete judgments. Unlike existing techn...
Javed A. Aslam, Virgiliu Pavlu, Emine Yilmaz
SIBGRAPI
2003
IEEE
14 years 28 days ago
Using Efficient Visual Exploration Techniques to Evaluate Features for Content-Based Image Retrieval
This paper presents a novel visual approach to evaluate, in a fast and effective way, the development of new image feature extraction techniques concerning content-based image ret...
José Fernando Rodrigues Jr., César A...