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» Statistical precision of information retrieval evaluation
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SPIRE
2005
Springer
13 years 10 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
SIGIR
2005
ACM
13 years 10 months ago
Information retrieval system evaluation: effort, sensitivity, and reliability
The effectiveness of information retrieval systems is measured by comparing performance on a common set of queries and documents. Significance tests are often used to evaluate the...
Mark Sanderson, Justin Zobel
SIGIR
2006
ACM
13 years 11 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
SIGIR
2010
ACM
13 years 7 hour ago
PRES: a score metric for evaluating recall-oriented information retrieval applications
Information retrieval (IR) evaluation scores are generally designed to measure the effectiveness with which relevant documents are identified and retrieved. Many scores have been ...
Walid Magdy, Gareth J. F. Jones
GECCO
2009
Springer
151views Optimization» more  GECCO 2009»
13 years 12 months ago
Swarming to rank for information retrieval
This paper presents an approach to automatically optimize the retrieval quality of ranking functions. Taking a Swarm Intelligence perspective, we present a novel method, SwarmRank...
Ernesto Diaz-Aviles, Wolfgang Nejdl, Lars Schmidt-...