, is that the user is looking for a document
where "A B" in Field1 & "C D" in Field2.
So I should ideally be constructing the query as :
"A B C D"^20 "A B"^10 "C D"^10 "B C D"^15 "A B C"^15 A B C D
Has s
a 1.5 to start using solr straight away.
Are there any issues if I do decide to move to solr that I should be
aware of ? (I am using lucene 2.0 as of now)
Thanks a ton,
mek.
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fields).
The only good solution I can think of is - giving very very high
weightage to the phrase, but even that did not seem to work.
Another possible idea - make length norm play a greater role in the
score (use length norm ^ 2 ? ) .
What else can I try ?
Thanks a lot for the responses Chris,
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
pended,
Am i making a mistake in the way I am adding fields ?
The results which are showing up on top (having very high fieldnorm) have a
lot of "values".
Thanks a ton for any guidance you can provide.
-mek
Explain output:
[java] 931523.7 = product of:
[java] 6520665.5 = produ
queries like "mel Movies:braveheart".
Right ?
Would this impact the search performance ?
Any other words of caution for me ?
Thanks,
mek
