Bill Janssen writes (4/4/2005 6:38 PM):
Hi, Otis.
Yes, I looked at Chuck's messages on the mailing list. But he seems
to be focussing on MultiSearcher approaches, where I'm looking for a
way (I think) to adjust each individual index so that it will give
scores similar to the others. I don't quite see how to merge the
results outside of Java without some such calibration.
There is also a long thread on this that pre-dates Wolf's solution for
the MultiSearcher's. I've never created the more general patch to make
scores across separate indices normalizable. In conversations with
Doug, I concluded the best approach is to generalize the notion of a
search score into a score object, thereby allowing multiple score facets
(e.g., relevance as defined now, percent of query terms matched, etc.).
The original idea was to use the percent of boost-weighted query terms
matched of the highest result as the top normalized score (which fully
defines the normalization).
Sorry it's not there...
Chuck
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