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» Topic (query) selection for IR evaluation
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RIAO
2007
13 years 6 months ago
Investigating Retrieval Performance with Manually-Built Topic Models
Modeling text with topics is currently a popular research area in both Machine Learning and Information Retrieval (IR). Most of this research has focused on automatic methods thou...
Xing Wei, W. Bruce Croft
SIGIR
2009
ACM
13 years 11 months ago
Query dependent pseudo-relevance feedback based on wikipedia
Pseudo-relevance feedback (PRF) via query-expansion has been proven to be effective in many information retrieval (IR) tasks. In most existing work, the top-ranked documents from...
Yang Xu, Gareth J. F. Jones, Bin Wang
IR
2010
13 years 3 months ago
LETOR: A benchmark collection for research on learning to rank for information retrieval
LETOR is a benchmark collection for the research on learning to rank for information retrieval, released by Microsoft Research Asia. In this paper, we describe the details of the L...
Tao Qin, Tie-Yan Liu, Jun Xu, Hang Li
GIR
2006
ACM
13 years 10 months ago
On metonymy recognition for geographic IR
Metonymic location names refer to other, related entities and possess a meaning different from the literal, geographic sense. Metonymic names are to be treated differently to im...
Johannes Leveling, Sven Hartrumpf
FQAS
2009
Springer
142views Database» more  FQAS 2009»
13 years 9 months ago
On the Selection of the Best Retrieval Result Per Query - An Alternative Approach to Data Fusion
Some recent works have shown that the “perfect” selection of the best IR system per query could lead to a significant improvement on the retrieval performance. Motivated by thi...
Antonio Juárez-González, Manuel Mont...