On Tue, Jan 12, 2010 at 7:53 AM, Paul Taylor <[email protected]
<mailto:[email protected]>> wrote:
Lucene in Action says you can possibly use NOT_ANALYSED_NO_NORMS
when indexing fields that arent tokenized, but later says norms
are used to boost fields with less /single term, so matches based
on these single term fields would miss out on this boost. Is there
a way to use NOT_ANALYSED_NO_NORMS on these fields will will mean
they end up with the best boost (1.0 as default) , and then
documents that are analysed with norms receive a negative boost
(<1.0) if they contain more than one token.
I'm not using Document or Field boosting, so seems a bit silly for
me to store all these norms just to say this field contains a
single token and therefore should get an addtional boost.
Perhaps Im misundersanding this, and this would work as required.
thanks Paul
FYI Looking at DefaultSimailarity() the lengthNorm is 1/sqrt(numTerms),
so for one term would equal 1. i.e. the same as not having norms, so
AFAIK there is no difference after all if not using Document or field
boosting
Paul
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