What problem are you trying to solve?
If you're trying to cut out "bad" results, I might suggest explicitly using
filters that eliminate undesirable search items in terms that are
meaningful to how your users evaluate relevance.
For example, let's say your users only want items that have at least
The ScoresAsPercentages page is not really instructions for how to normalize
scores. It is an explanation of why a score threshold does not do what you want.
Don’t use thresholds. If you want thresholds, you will need a search engine
with a probabilistic model, like Verity K2. Those generally gi
Hi Sara,
You can use funct and frange to achive needed, but note that scores are
not normalized meaning score 8 does not mean it is good match - it is
just best match. There are examples online how to normalize score (e.g.
http://wiki.apache.org/lucene-java/ScoresAsPercentages).
Other approach
