Hi, another abstract implementation question:
Per Term Position (prox) data vs. Per Doc Term Vectors. Belt and
Suspenders? Can't Term Vectors effectively (performantly) replace
position data for doing phrase matches? Is there another use of
position data that term vectors doesn't satisfy? Does each have pros
and cons? Or if you were implementing Lucene from scratch, would you
just implement term vectors and forget positions?
Cheers,
Matt
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