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Relevance feedback

Relevance feedback is a feature of some information retrieval systems. The idea behind relevance feedback is to take the results that are initially… Expand
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Papers overview

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Review
2020
Review
2020
Remote sensing (RS) image retrieval is of great significant for geological information mining. Over the past two decades, a large… Expand
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Highly Cited
2009
Highly Cited
2009
The Probabilistic Relevance Framework (PRF) is a formal framework for document retrieval, grounded in work done in the 1970–1980s… Expand
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Highly Cited
2008
Highly Cited
2008
Pseudo-relevance feedback assumes that most frequent terms in the pseudo-feedback documents are useful for the retrieval. In this… Expand
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Highly Cited
1998
Highly Cited
1998
Content-based image retrieval (CBIR) has become one of the most active research areas in the past few years. Many visual feature… Expand
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Highly Cited
1998
Highly Cited
1998
We introduce an extended representation of time series that allows fast, accurate classification and clustering in addition to… Expand
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Highly Cited
1997
Highly Cited
1997
Technology advances in the areas of image processing (IP) and information retrieval (IR) have evolved separately for a long time… Expand
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Highly Cited
1997
Highly Cited
1997
Relevance feedback is an automatic process, introduced over 20 years ago, designed to produce query formulations following an… Expand
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Highly Cited
1990
Highly Cited
1990
Relevance feedback is an automatic process, introduced over 20 years ago, designed to produce improved query formulations… Expand
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Highly Cited
1990
Highly Cited
1990
 
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Highly Cited
1971
Highly Cited
1971
 
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