Hi Chris,
thanks for the details, I am meanwhile poking around with my own
class which I defined in the schema.xml everything is working
perfectly there.
But I have still the problem with the normalization, I try to
change several parameters to fix it to 1.0, this does indeed change
the scoring but still not the real way I need it. It seems that it is
always the "fieldNorm" which is playing, but where is this field
really from ? In the Similarity Class I don't find this term to alter.
Let me give a short example what goes wrong :
I have a field "searchname" with a boost of "3.0" during the
document.add. Another field "text" is a copyField of several entries,
this one does not have a boost factor, but indeed more data in it. In
this text is a copy of a field where the text searched is in there
3times. This entry has the score : 5.5930133
But I have also entries where the searchname has the same word in
it, but this one have a score of 1.9975047.
Currently my class is like this (I took the DefaultSimilarity as a
basis);
- lengthNorm is fixed to 1.0
- tf fixed to 1.0
- idf fixed to 1.0
With these changes, might it be possible that I've deactivated the
boost on the different Fields.
What I need is, a search, which will handle each document the
same, regardless of the frequency and the size, it shall calculate
the score only on the boost factors, so a document with a hight
boostfactor and the same text in it as another one with less factor
shall be before the others.
Something I do might be completely wrong, perhaps You have an idea ?
Thanks,
Tom
