Ranking (information retrieval)

Known as: Document ranking, Ranking function 
Ranking of query results is one of the fundamental problems in information retrieval (IR), the scientific/engineering discipline behind search… (More)
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Highly Cited
2014
Highly Cited
2014
Learning fine-grained image similarity is a challenging task. It needs to capture between-class and within-class image… (More)
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Highly Cited
2011
Highly Cited
2011
Determining the emotion of a song that best characterizes the affective content of the song is a challenging issue due to the… (More)
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Highly Cited
2009
Highly Cited
2009
This paper studies document ranking under uncertainty. It is tackled in a general situation where the relevance predictions of… (More)
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Highly Cited
2009
Highly Cited
2009
Although many variants of language models have been proposed for information retrieval, there are two related retrieval… (More)
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Highly Cited
2008
Highly Cited
2008
Information retrieval (IR) models based on vector spaces have been investigated for a long time. Nevertheless, they have recently… (More)
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Highly Cited
2008
Highly Cited
2008
A range of methods for measuring the effectiveness of information retrieval systems has been proposed. These are typically… (More)
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Highly Cited
2007
Highly Cited
2007
This paper is concerned with learning to rank for information retrieval (IR). Ranking is the central problem for information… (More)
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Highly Cited
2005
Highly Cited
2005
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many… (More)
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Highly Cited
2004
Highly Cited
2004
Ranking functions play a substantial role in the performance of information retrieval (IR) systems and search engines. Although… (More)
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Highly Cited
2003
Highly Cited
2003
We describe an efficient peer-to-peer information retrieval system, pSearch; that supports state-of-the-art content- and semantic… (More)
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