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From Sebastian Marius Kirsch <>
Subject Re: Lucene + LSI
Date Tue, 13 Dec 2005 11:26:15 GMT
On Tue, Dec 13, 2005 at 10:53:42AM +0000, adasal wrote:
> There seem to be quite a few alternatives around. I would be interested in
> comments on the following:-
> The work at NITLE <>
> using Contextual
> Network Search (CNS) a graph-based alternative to LSI.


perhaps I can say a few words about CNS.

I evaluated spreading activation search (which is what CNS is based
on) for my master's thesis. I must conclude that SA is a rather fickle
method -- if you read Preece's thesis, you will see that it can be
used to implement a number of retrieval algorithms and techniques. The
devil is in the details: SA depends strongly on a suitable set of
adjustments and constraints which express exactly the kind of
retrieval (or inference) algorithm you want. 

For applications of SA in Retrieval, see for example the following

You will notice that Crestani stresses the fact that no successful
commercial system based on SA was ever produced. I am also unaware of
any peer-reviewed publications on CNS, or follow-up publications by
NITLE. Maciej Ceglowski has since left NITLE, as far as I know.

So if I was you, I'd place my bet on probabilistic or linear algebra
methods like pLSI/LSI. 

If anyone wants to chime in, please feel free to comment ;)

Regards, Sebastian

Sebastian Kirsch <> []

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