RE: Scoring purely on term frequencies

2006-06-27 Thread W.H. van Atteveldt
me point! -- Wouter > -Original Message- > From: Chris Hostetter [mailto:[EMAIL PROTECTED] > Sent: 27 June 2006 20:05 > To: java-user@lucene.apache.org > Cc: [EMAIL PROTECTED] > Subject: RE: Scoring purely on term frequencies > > : Similarity that simply returns the number of

RE: Scoring purely on term frequencies

2006-06-27 Thread Chris Hostetter
Hits hits = searcher.search(query); : : System.out.println(hits.length() + " total matching documents"); : : for(int i=0; i -Original Message----- : > From: Ziv Gome [mailto:[EMAIL PROTECTED] : > Sent: 21 May 2006 11:19 : > To: java-user@lucene.apache.org : > Subject

RE: Scoring purely on term frequencies

2006-06-27 Thread W.H. van Atteveldt
length() + " total matching documents"); for(int i=0; i -Original Message- > From: Ziv Gome [mailto:[EMAIL PROTECTED] > Sent: 21 May 2006 11:19 > To: java-user@lucene.apache.org > Subject: RE: Scoring purely on term frequencies > > Hi Wouter, > > My thought w

RE: Scoring purely on term frequencies

2006-05-21 Thread Ziv Gome
Hi Wouter, My thought would be to go for plan (b) (have not tested it though). This would produce simply the sum of frequencies of the different terms (I'm referring to a real multi-term query, not a phrase as you mentioned - "the man" - which should work). The problem I see is that it you loose