> in situations where you deal with simple query types, and matching query structures, the queryNorm > *can* be used to make scores semi-comparable.
Hmm. My example used matching query structures. The only difference was a single term in a field with zero weight that didn't exist in the matching document. But one score was 3X the other. Peter On Sat, Feb 28, 2009 at 12:35 PM, Chris Hostetter <hossman_luc...@fucit.org>wrote: > > : I guess I don't really understand this comment in the similarity java doc > : then: > : > : > http://lucene.apache.org/java/2_4_0/api/org/apache/lucene/search/Similarity.html#formula_queryNorm > : > : *queryNorm(q) * is a normalizing factor used to make scores between > queries > : comparable. > > that comment should probably be removed ... in situations where you > deal with simple query types, and matching query structures, the queryNorm > *can* be used to make scores semi-comparable. > > To be 100% correct about what the queryNorm does in all cases: it > normalizes each of the constituent values that are used in the score > computation relative to the other constituent values. the main value I've > seen from it is that it prevents a loss of floating point accuracy that > can result from addition/multiplication of large values. > > > > -Hoss > > > --------------------------------------------------------------------- > To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org > For additional commands, e-mail: java-user-h...@lucene.apache.org > >
