It sounds like function queries would be a fit here -- they let you
customize how a documents score is computed, and eg you could blend
the "normal" Lucene relevance with your own contribution, per document.
Mike
[email protected] wrote:
Ya. Earlier we were sorting only. But sorting didn't always result
in optimal
ranking as it completely ignores Lucene score. We do not want that.
We want
a combination of different features, and not necessarily sorting by
one
field values.
Pratyush
Michael McCandless-2 wrote:
Can you simply sort by that string field? (Which also uses
FieldCache
under the hood to get the values).
Mike
On Feb 12, 2009, at 3:46 PM, [email protected] wrote:
I guess I could use, String[] s =
ExtendedFieldCache.EXT_DEFAULT.getStrings(reader, fieldname);
It will consume memory but should not be that bad. For my index this
field
has sortable string value which I could use in my model. I only need
to do
this for one field. Comment ?
Pratyush
Michael McCandless-2 wrote:
[You'd probably get more responses on java-user@ instead of
gene...@]
Could you use per-field boost?
Or, since it sounds like you have a separate field with the boost
you
want,
maybe you could do this all at search time using a function query?
An advanced possibility is to make your own indexing chain, and
use a
different
NormsWriter, but that's an extremely big hammer to pull out for
this
nail.
Mike
[email protected] wrote:
Hi
How can I set my own norm value during indexing time. From my
quick
reading
of code, I believe that norm values are written by NormsWriter
class
which
is called from final class DocumentsWriter. Norm values are set by
calling
org.apache.lucene.search.Similarity#lengthNorm(String fieldName,
int
numTokens). But I need to set the norm using the field value which
is a
float number. I will be using this norm for my retrieval model. I
cannot use
document.setBoost(), as i need to boost the fields differently.
thanks
Pratyush
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