Thanks a lot Chris for the detailed & patitent response.
The value of a the field norm for any field named "A" is typically the lengthNorm of the field, times the document boost, times the field boost for *each* Field instance added to the document with the name "A". (lengthNorm is by default 1/swrt(num of terms))
That explains the very high value for the fieldNorm. The boost value became boost_vale^#of values in the field. A couple of more questions: 1. Can I do away with index-time boosting for fields & tweak query-time boosting for them ? I understand that doc level boosting is very useful while indexing. But for fields, both index-boost & query-boost are mutiples which lead to the score, so would it be safe to say that I can replace the index-time boost with query-time boosting. This allows me a lot of freedom to test different values without re-indexing which takes me about 6 hours. 2. When searching through the archive I had read a post by you, saying its possible to give exact matches much higher weightage by indexing the START & END from : http://www.nabble.com/What-are-norms--tf1919250.html#a5335856 "it is possible to score exact matches on (tokenized) fields very high without using lengthNorm by indexing START and END tokens for the field as well, and then including them in your sloppy phrase queries -- the "tighter" match will score highest." Can you please elaborate on this, Thanks a ton for the response, mekin --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
