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ICDIM
2007
IEEE
13 years 10 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
JUCS
2008
117views more  JUCS 2008»
13 years 4 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
JASIS
2010
124views more  JASIS 2010»
13 years 2 months ago
Query polyrepresentation for ranking retrieval systems without relevance judgments
Ranking information retrieval (IR) systems with respect to their effectiveness is a crucial operation during IR evaluation, as well as during data fusion. This paper offers a no...
Miles Efron, Megan A. Winget
SIGIR
2003
ACM
13 years 9 months ago
On the effectiveness of evaluating retrieval systems in the absence of relevance judgments
Soboroff, Nicholas and Cahan recently proposed a method for evaluating the performance of retrieval systems without relevance judgments. They demonstrated that the system evaluat...
Javed A. Aslam, Robert Savell
ECIR
2009
Springer
14 years 1 months ago
Using Multiple Query Aspects to Build Test Collections without Human Relevance Judgments
Abstract. Collecting relevance judgments (qrels) is an especially challenging part of building an information retrieval test collection. This paper presents a novel method for crea...
Miles Efron