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» A new evaluation measure for information retrieval systems
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SIGIR
2005
ACM
15 years 5 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
15 years 6 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»
14 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
SIGIR
2006
ACM
15 years 5 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
15 years 5 months 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...