I think those boosts shown are reflecting the edit distance. What we can't see
from this is that the Similarity class used in execution is using the same IDF
for all terms. The other factors at play will be the term frequency in the doc,
its length and any doc boost.
I don't have access to the c
After searching for term "desy" which has lot of variants in our index a
rewritten (sub)query will look like this:
(text:dey^0.22828968 text:des^0.22828968 text:dest^1.1557184
text:desk^1.1557184 text:desi^1.1557184 text:desf^1.1557184
text:desc^1.1557184 text:deny^1.1557184 text:defy^1.155718
Despite making IDF a constant the edit distance should remain a factor
in the rankings so I would have thought this would give you what you
need.
Can you supply a more detailed example? Either print the rewritten
query or use the explain function
Cheers
Mark
On 27 Aug 2009, at 13:22, Ber
