msokolov commented on PR #14226:
URL: https://github.com/apache/lucene/pull/14226#issuecomment-2660180526
I don't believe 16 is "special" except in the sense that it happens to be a
sweet spot is this context. We expect that as we increase that per-segment
factor we will get increased recall because it is the equivalent of the old
"fanout" parameter we used to have - it expands the beam of the search while
keeping the number of results returned fixed. This is different from "fanout"
because that was a global setting, and this one scales with the relative size
of the segment.
What I'd like to understand is whether there is a fixed value for this sweet
spot, or whether it changes with {data, graph construction parameters,
something else}. It seems clear that my idea that it is a probabilistic thing
is incorrect since 16 standard deviations is just crazy. But we can at least
look at it empirically.
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