Hi, >> I would highly appreciate it if the experts here (especially Karsten or Chong) look at my idea and tell me if this would be possible. >>
Sorry, I have no idea about how to use a probabilistic approach with Lucene, but if anyone does so, I would like to know, too. I am currently puzzled by a related question: I would like to know if there are any approaches to get a confidence value for relevance rather than a ranking. I.e., it would be nice to have a ranking weight whose value has some kind of semantics such that we could compare results from different queries. Can probabilistic approches do anything like this? Any help appreciated, Karsten -----Ursprüngliche Nachricht----- Von: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] Gesendet: Mittwoch, 3. Dezember 2003 15:13 An: [EMAIL PROTECTED] Betreff: Probabilistic Model in Lucene - possible? Hello group, from the very inspiring conversations with Karsten I know that Lucene is based on a Vector Space Model. I am just wondering if it would be possible to turn this into a probabilistic Model approach. Of course I do know that I cannot change the underlying indexing and searching principles. However it would be possible to change the index term weight to eigther 1.0 (relevant) or 0.0 (non-relevant). For the similarity I would need to implement another similarity algorithm. I would highly appreciate it if the experts here (especially Karsten or Chong) look at my idea and tell me if this would be possible. If yes, how much effort would need to go into that? I am sure there are many other issues which I have not considered... Kind Regards, Ralf -- +++ GMX - die erste Adresse für Mail, Message, More +++ Neu: Preissenkung für MMS und FreeMMS! http://www.gmx.net --------------------------------------------------------------------- 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]
