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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… 
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… 
2012
2012
Abstract : At Rutgers, we approached the Session Track task as an issue of personalization, based on both the behaviors exhibited… 
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… 
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… 
2003
2003
In this paper, the distributions of training vectors on SOM surfaces are studied in terms of probabilities. The entropy of a… 
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… 
1996
1996
For TREC-5, we enhanced our existing prototype that implements relevance ranking using the AT&T DBC-1012 Model 4 parallel…