We have a test case that boosts a set of terms. Something along the lines of
“term1^2 AND term2^3 AND term3^4 and this query runs over a two content
distinct indexes. Our expectation is that the terms would be returned to us as
term3, term2 and term1. Instead we get something along the lines of term3,
term1 and term2. I realize from a number of postings that this is the result
of the scoring methods action taking place within an individual index rather
than against several indexes. At the same time I don’t see a lot of solutions
offered. Is there an out of the box solution to normalize scoring over diverse
indexes? If not is there a strategy for rolling your own normalizing solution?
I’m assuming this has to be a common problem. -scott
