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From "José Ramón Pérez Agüera"<>
Subject Re: implementatin of the state-of-art retrieval models for lucene?
Date Fri, 02 Feb 2007 09:46:24 GMT

----- Mensaje original -----
De: Hui Fang <>
Fecha: Viernes, Febrero 2, 2007 5:45 am
Asunto: implementatin of the state-of-art retrieval models for lucene?

> Dear all,
> My primary research interest is Information retrieval, with a 
> focus on
> developing
> effective and robust retrieval models. I am happy to send my 
> first email
> to Lucene community.
> Lucene and nutch are really useful IR systems. But I think that 
> the current
> retrieval function
> implemented in Lucene does not perform as well as other state-of-art
> retrieval functions in terms of effectiveness.  I have 
> implemented some
> state-of-art models
> (such as pivoted normalization, okapi and axiomatic retrieval models)
> on top of Lucene, and evaluated these models and the default model
> implemented in
> Lucene using standard IR evaluation methodology. Experiments 
> show that
> the state-of-art retrieval functions outperform the default one.
> Actually, this is one assignment my advisor and I designed for 
> our IR
> course.
> After posting this assignment online, quite a few IR researchers 
> contactedus and
> asked for the code of our implementations.  So, we think that
> it might be beneficial to everyone in the lucene community and 
> IR research
> community,
> if we could contribute our implementation of the state-of-art 
> retrievalfunctions to Lucene.
> I think that our contribution could help improve the retrieval 
> performancefor both
> Lucene and nutch.
> What do you think?
> Thanks,
> -Hui

José Ramón Pérez Agüera

Dept. de Ingeniería del Software e Inteligencia Artificial
Despacho 411 tlf. 913947599
Facultad de Informática
Universidad Complutense de Madrid

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