Divergence-from-randomness model

Known as: Divergence from randomness model, DFRSimilarity, DFR Similarity 
In the field of information retrieval, divergence from randomness is one type of probabilistic model. Term weights are computed by measuring the… (More)
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Topic mentions per year

Topic mentions per year

2004-2017
012320042017

Papers overview

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2017
2017
This paper describes the participation of USTB PRIR team in the 2017 BioASQ 5B on question answering, including document… (More)
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2016
2016
In our participation at TREC 2016 Open Search Track which focuses on ad-hoc scienti c literature search, we used Terrier, a… (More)
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2015
2015
In an earlier analysis of Pseudo Relevance Feedback (PRF) models by Clinchant and Gaussier (2013), five desirable properties that… (More)
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2015
2015
A new combination of multiple Information Retrieval approaches are proposed for book recommendation based on complex users… (More)
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2015
2015
In TREC 2015 Clinical Decision Support Track, our goal is to retrieve the relevant medical articles for the questions about… (More)
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2009
2009
 
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2004
2004
Our participation in TREC 2004 aims to extend and improve the use of the DFR (Divergence From Randomness) models with Query… (More)
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Highly Cited
2004
Highly Cited
2004
With our participation in TREC2004, we test Terrier, a modular and scalable Information Retrieval framework, in three tracks. For… (More)
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