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» Ranking Retrieval Systems with Partial Relevance Judgements
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AIRS
2005
Springer
13 years 10 months ago
On Effectiveness Measures and Relevance Functions in Ranking INEX Systems
Abstract. This paper investigates the effect of performance measures and relevance functions in comparing retrieval systems in INEX, an evaluation forum dedicated to XML retrieval....
Huyen-Trang Vu, Patrick Gallinari
CW
2005
IEEE
14 years 2 months ago
ComRank: Metasearch and Automatic Ranking of XML Retrieval System
Different information retrieval (IR) systems often return very diverse results lists for the same query. This is problematic for users since no one IR system works best for every ...
Alan Woodley, Shlomo Geva
IWC
1998
108views more  IWC 1998»
13 years 8 months ago
How many relevances in information retrieval?
The aim of an information retrieval system is to nd relevant documents, thus relevance is a (if not `the') central concept of information retrieval. Notwithstanding its impor...
Stefano Mizzaro
ADC
2009
Springer
140views Database» more  ADC 2009»
14 years 3 months ago
Score Aggregation Techniques in Retrieval Experimentation
Comparative evaluations of information retrieval systems are based on a number of key premises, including that representative topic sets can be created, that suitable relevance ju...
Sri Devi Ravana, Alistair Moffat
JASIS
2010
124views more  JASIS 2010»
13 years 7 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