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SIGIR
2010
ACM
13 years 11 months ago
Positional relevance model for pseudo-relevance feedback
Pseudo-relevance feedback is an effective technique for improving retrieval results. Traditional feedback algorithms use a whole feedback document as a unit to extract words for ...
Yuanhua Lv, ChengXiang Zhai
JAIR
2012
254views Hardware» more  JAIR 2012»
11 years 10 months ago
Completeness Guarantees for Incomplete Ontology Reasoners: Theory and Practice
To achieve scalability of query answering, the developers of Semantic Web applications are often forced to use incomplete OWL 2 reasoners, which fail to derive all answers for at ...
Bernardo Cuenca Grau, Boris Motik, Giorgos Stoilos...
DASFAA
2008
IEEE
116views Database» more  DASFAA 2008»
13 years 9 months ago
MBR Models for Uncertainty Regions of Moving Objects
The increase in the advanced location based services such as traffic coordination and management necessitates the need for advanced models tracking the positions of Moving Objects ...
Shayma Alkobaisi, Wan D. Bae, Seon Ho Kim, Byunggu...
CIKM
2009
Springer
14 years 2 months ago
A signal-to-noise approach to score normalization
Score normalization is indispensable in distributed retrieval and fusion or meta-search where merging of result-lists is required. Distributional approaches to score normalization...
Avi T. Arampatzis, Jaap Kamps
ERCIMDL
2007
Springer
87views Education» more  ERCIMDL 2007»
14 years 1 months ago
Thesaurus-Based Feedback to Support Mixed Search and Browsing Environments
We propose and evaluate a query expansion mechanism that supports searching and browsing in collections of annotated documents. Based on generative language models, our feedback me...
Edgar Meij, Maarten de Rijke