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SIGIR
2008
ACM
15 years 6 months ago
Learning to rank with partially-labeled data
Ranking algorithms, whose goal is to appropriately order a set of objects/documents, are an important component of information retrieval systems. Previous work on ranking algorith...
Kevin Duh, Katrin Kirchhoff
CIKM
2008
Springer
15 years 8 months ago
Active relevance feedback for difficult queries
Relevance feedback has been demonstrated to be an effective strategy for improving retrieval accuracy. The existing relevance feedback algorithms based on language models and vect...
Zuobing Xu, Ram Akella
CLEF
2006
Springer
15 years 10 months ago
MorphoSaurus in ImageCLEF 2006: The Effect of Subwords On Biomedical IR
We here describe the subword approach we used in the 2006 ImageCLEF Medical Image Retrieval task. It is based on the assupmtion that neither fully inflected nor automatically stem...
Philipp Daumke, Jan Paetzold, Kornél G. Mar...
CIKM
2010
Springer
15 years 4 months ago
Who should I cite: learning literature search models from citation behavior
Scientists depend on literature search to find prior work that is relevant to their research ideas. We introduce a retrieval model for literature search that incorporates a wide ...
Steven Bethard, Dan Jurafsky
CIKM
2010
Springer
15 years 3 months ago
A late fusion approach to cross-lingual document re-ranking
The field of information retrieval still strives to develop models which allow semantic information to be integrated in the ranking process to improve performance in comparison to...
Dong Zhou, Séamus Lawless, Jinming Min, Vin...