Out of sheer curiosity what makes scores different across queries, I am
not suggesting they should be the same, just filling in terrible gaps in
my knowledge that I have not quite fathomed yet during source diving
On 14/02/12 16:46, Uwe Schindler wrote:
Scores are only compatible if the query is the same, which is not the case for
you. So you cannot merge hits from different queries.
-----
Uwe Schindler
H.-H.-Meier-Allee 63, D-28213 Bremen
http://www.thetaphi.de
eMail: u...@thetaphi.de
-----Original Message-----
From: Trejkaz [mailto:trej...@trypticon.org]
Sent: Wednesday, February 15, 2012 1:40 AM
To: Lucene Users Mailing List
Subject: Merging results from two searches on two separate Searchers
Hi all.
We have 1..N indexes for each time someone adds some data. Each time they
can choose different tokenisation settings. Because of this, each text index has
its own query parser instance. Because each query parser could generate a
different Query (though I guess whether they do or not is another matter!) we
can't just use MultiReader and a single IndexSearcher.
What we have been doing is performing the search against each index and then
merging the results by score. I remember from a long time ago that this was
not something you're supposed to do.
Reading information I can find today, it sounds like the main problem was Hits
doing score normalisation. We cloned Hits a while back and inherited its score
normalisation code as well.
So my questions:
- does normalising the scores do anything other than give people the illusion
that scores are from 0.0 ~ 1.0?
- if I remove the score normalisation from our Hits-like class, is it now
totally
OK to merge the lists of results?
(And, I guess, if not, is there some trick I can employ to line the scores
for the
results up so that I can?)
TX
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