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» Ranking List Dispersion as a Query Performance Predictor
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BMCBI
2006
69views more  BMCBI 2006»
13 years 8 months ago
Retrieval with gene queries
Background: Accuracy of document retrieval from MEDLINE for gene queries is crucially important for many applications in bioinformatics. We explore five information retrieval-base...
Aditya Kumar Sehgal, Padmini Srinivasan
CIKM
2010
Springer
13 years 6 months ago
Learning to rank relevant and novel documents through user feedback
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
Abhimanyu Lad, Yiming Yang
FQAS
2009
Springer
142views Database» more  FQAS 2009»
14 years 14 days 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...
CIKM
2010
Springer
13 years 6 months ago
Ranking under temporal constraints
This paper introduces the notion of temporally constrained ranked retrieval, which, given a query and a time constraint, produces the best possible ranked list within the specifi...
Lidan Wang, Donald Metzler, Jimmy Lin
WWW
2006
ACM
14 years 8 months ago
Mining related queries from search engine query logs
In this work we propose a method that retrieves a list of related queries given an initial input query. The related queries are based on the query log of previously issued queries...
Xiaodong Shi, Christopher C. Yang