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» Ranking List Dispersion as a Query Performance Predictor
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BMCBI
2006
69views more  BMCBI 2006»
15 years 4 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
15 years 2 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»
15 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...
CIKM
2010
Springer
15 years 2 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
16 years 5 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