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 Gr��en aus Saarbr�cken -- Dr.-Ing. Karsten Konrad Head of Artificial Intelligence Lab XtraMind Technologies GmbH Stuhlsatzenhausweg 3 D-66123 Saarbr�cken Phone: +49 (681) 3025113 Fax: +49 (681) 3025109 [EMAIL PROTECTED] www.xtramind.com -----Urspr�ngliche Nachricht----- Von: Chong, Herb [mailto:[EMAIL PROTECTED] 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:[EMAIL PROTECTED] 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 --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED] --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
