Hi,
>>
vector space is only one of several important ones.
>>
what are these several other important ones?
While Lucene does not give an explicit vector space
representation  you can not efficiently access the vector
of one document  the index' basic representation is
a reduction of each document to its terms and
frequencies, hence a mapping into a vector space and hence
a vector space model. The relative term weights (TF/IDF) warp the
space and the vectors, but all of Lucene's search operations
nevertheless are operations on a vector space model
(ok, maybe phrase search is a bit different as it
requires an extension by position information).
E.g., searching a term means finding all vectors that have
a certain common dimension and ranking means weighting these
relatively to their angle in vector space.
KK
Mit freundlichen Grüßen aus Saarbrücken

Dr.Ing. Karsten Konrad
Head of Artificial Intelligence Lab
XtraMind Technologies GmbH
Stuhlsatzenhausweg 3
D66123 Saarbrücken
Phone: +49 (681) 3025113
Fax: +49 (681) 3025109
konrad@xtramind.com
www.xtramind.com
Ursprüngliche Nachricht
Von: Chong, Herb [mailto:HChong3@bloomberg.com]
Gesendet: Freitag, 14. November 2003 14:35
An: Lucene Users List
Betreff: RE: Vector Space Model in Lucene?
does it matter? vector space is only one of several important ones.
Herb....
Original Message
From: Leo Galambos [mailto:Leo.G@seznam.cz]
Sent: Friday, November 14, 2003 4:00 AM
To: Lucene Users List
Subject: Re: Vector Space Model in Lucene?
Really? And what model is used/implemented by Lucene?
THX
Leo

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