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» Relevance Ranking for Geographic IR
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CLEF
2006
Springer
13 years 8 months ago
The University of Lisbon at GeoCLEF 2006
This paper details the participation of the XLDB group from the University of Lisbon at the GeoCLEF task of CLEF 2006. We tested text mining methods that make use of an ontology t...
Bruno Martins, Nuno Cardoso, Marcirio Silveira Cha...
ECIR
2003
Springer
13 years 6 months ago
From Uncertain Inference to Probability of Relevance for Advanced IR Applications
Uncertain inference is a probabilistic generalisation of the logical view on databases, ranking documents according to their probabilities that they logically imply the query. For ...
Henrik Nottelmann, Norbert Fuhr
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
JASIS
2010
124views more  JASIS 2010»
13 years 3 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
2010
ACM
13 years 8 months ago
On statistical analysis and optimization of information retrieval effectiveness metrics
This paper presents a new way of thinking for IR metric optimization. It is argued that the optimal ranking problem should be factorized into two distinct yet interrelated stages:...
Jun Wang, Jianhan Zhu