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Re: implementatin of the state-of-art retrieval models for lucene?

Subject: Re: implementatin of the state-of-art retrieval models for lucene?
From: Grant Ingersoll
Date: Fri, 2 Feb 2007 07:03:52 -0500
Hi Hui,

We love contributions! Take a look at http://wiki.apache.org/jakarta- lucene/HowToContribute

Are these changes on top of Lucene or part of the core? If they are on top, they could go as a contrib which is much easier to get accepted. The best way to submit changes is through a patch. It is best if you have unit tests and some documentation explaining what you did, but not an absolute requirement.


On Feb 1, 2007, at 11:42 PM, Hui Fang wrote:

Dear all,

My primary research interest is Information retrieval, with a focus on
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

After posting this assignment online, quite a few IR researchers contacted
us 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
if we could contribute our implementation of the state-of-art retrieval
functions to Lucene.
I think that our contribution could help improve the retrieval performance
for both
Lucene and nutch.

What do you think?


Grant Ingersoll
Center for Natural Language Processing

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