----- Mensaje original ----- De: Hui Fang <[EMAIL PROTECTED]> Fecha: Viernes, Febrero 2, 2007 5:45 am Asunto: implementatin of the state-of-art retrieval models for lucene? A: java-dev@lucene.apache.org
> 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
