Does anybody here know a paper/book chapter that particularily writes about
the individual advantages/disadvantages of each ot the two models? I had a
look at [Grossman/Frieder 1998] ("Information Retrieval - Algorithms and
Heuristics") in which is was stated that the question which model works best
is still an open debate. However, there should be at least paper that at
least argue for the one or the the other model in order to get a better
understanding. Perhaps anybody has some references?Karl > --- Ursprüngliche Nachricht --- > Von: Grant Ingersoll <[EMAIL PROTECTED]> > An: java-user@lucene.apache.org > Betreff: Re: Vector Space Model <-> Probabilistic Model > Datum: Thu, 16 Feb 2006 14:19:02 -0500 > > You may find some useful reading at: > http://wiki.apache.org/jakarta-lucene/InformationRetrieval > > Karl Koch wrote: > > I am looking for a comparison between the theoretical Vector Space Model > and > > the theoretical Probabilistic Model in Information Retrieval. I know > that > > comcrete implementations do differ from that. However, I am looking for > > papers that compare the performance of both in particular applications. > > > > Does anybody know about good books that focus on this matter? > > > > Karl > > > > > > -- > ------------------------------------------------------------------- > Grant Ingersoll > Sr. Software Engineer > Center for Natural Language Processing > Syracuse University > School of Information Studies > 335 Hinds Hall > Syracuse, NY 13244 > > http://www.cnlp.org > Voice: 315-443-5484 > Fax: 315-443-6886 > > > --------------------------------------------------------------------- > To unsubscribe, e-mail: [EMAIL PROTECTED] > For additional commands, e-mail: [EMAIL PROTECTED] > -- 10 GB Mailbox, 100 FreeSMS/Monat http://www.gmx.net/de/go/topmail +++ GMX - die erste Adresse für Mail, Message, More +++ --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
