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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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13 relations
Additive smoothing
Algorithm
Browser extension
Content-based image retrieval
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Papers overview
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2014
2014
HLTCOE at TREC 2014: Microblog and Clinical Decision Support
Tan Xu
,
Douglas W. Oard
,
Paul McNamee
Text Retrieval Conference
2014
Corpus ID: 11998271
Our team submitted runs for both the Microblog and Clinical Decision Support tracks. For the Microblog track, we participated in…
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2012
2012
York University at TREC 2012: Medical Records Track
Mariam Daoud
,
Dawid Kasperowicz
,
Jun Miao
,
J. Huang
Text Retrieval Conference
2012
Corpus ID: 7540488
In this paper, we present our participation in the Medical Records Track of TREC 2012. This is the second time we take part in…
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2012
2012
Rutgers at the TREC 2012 Session Track
Chang Liu
,
Michael J. Cole
,
E. Baik
,
N. Belkin
Text Retrieval Conference
2012
Corpus ID: 13099653
Abstract : At Rutgers, we approached the Session Track task as an issue of personalization, based on both the behaviors exhibited…
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2010
2010
IIIT Hyderabad in Guided Summarization and Knowledge Base Population
Vasudeva Varma
,
Praveen Bysani
,
+7 authors
Prasad Pingali
Text Analysis Conference
2010
Corpus ID: 18134568
In this report, we present details about the participation of IIIT Hyderabad in Guided Summarization and Knowledge Base…
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2009
2009
Microsoft Research at TREC 2009: Web and Relevance Feedback Track
Nick Craswell
,
Dennis Fetterly
,
Marc Najork
,
S. Robertson
,
Emine Yilmaz
Text Retrieval Conference
2009
Corpus ID: 1978709
Abstract : We took part in the Web and Relevance Feedback tracks, using the ClueWeb09 corpus. To process the corpus, we developed…
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2003
2003
Information Mining in Remote Sensing Image Archives — Part A : System Concepts
M. Datcu
,
H. Daschiel
,
+7 authors
S. d'Elia
2003
Corpus ID: 9316767
In this paper, we demonstrate the concepts of a prototype of a knowledge-driven content-based information mining system produced…
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Review
2003
Review
2003
Relevance Feedback in Content-Based Image Retrieval
HongJiang Zhang
2003
Corpus ID: 61729490
In this chapter, we discuss relevance feedback technologies in content-based image retrieval systems. We firstly introduce the…
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2003
2003
Probability Interpretation of Distributions on SOM Surfaces
Jorma T. Laaksonen
,
M. Koskela
,
E. Oja
2003
Corpus ID: 6821844
In this paper, the distributions of training vectors on SOM surfaces are studied in terms of probabilities. The entropy of a…
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2000
2000
Approximating Content-Based Object-Level Image Retrieval
W. Hsu
,
Tat-Seng Chua
,
H. Pung
Multimedia tools and applications
2000
Corpus ID: 2501303
Object-level image retrieval is an active area of research. Given an image, a human observer does not see random dots of colors…
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1996
1996
Using Relevance Feedback within the Relational Model for TREC-5
D. Grossman
,
Carol Lundquist
,
J. Reichart
,
David O. Holmes
,
Abdur Chowdhury
,
O. Frieder
Text Retrieval Conference
1996
Corpus ID: 17314644
For TREC-5, we enhanced our existing prototype that implements relevance ranking using the AT&T DBC-1012 Model 4 parallel…
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