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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… 
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Papers overview

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2014
2014
Our team submitted runs for both the Microblog and Clinical Decision Support tracks. For the Microblog track, we participated in… 
2014
2014
Author name disambiguation has been one of the hardest problems faced by digital libraries since their early days. Historically… 
2012
2012
In this paper, we present our participation in the Medical Records Track of TREC 2012. This is the second time we take part in… 
2010
2010
In this report, we present details about the participation of IIIT Hyderabad in Guided Summarization and Knowledge Base… 
2009
2009
Abstract : We took part in the Web and Relevance Feedback tracks, using the ClueWeb09 corpus. To process the corpus, we developed… 
2004
2004
To improve the precision of top-ranked images returned by a web image search engine, we propose in this paper a novel pseudo… 
2003
2003
In this paper, we demonstrate the concepts of a prototype of a knowledge-driven content-based information mining system produced… 
Review
2003
Review
2003
In this chapter, we discuss relevance feedback technologies in content-based image retrieval systems. We firstly introduce the… 
2000
2000
Object-level image retrieval is an active area of research. Given an image, a human observer does not see random dots of colors… 
2000
2000
The University of Maryland participated in the CLEF 2000 multilingual task, submitting three o cial runs that explored the impact…