I just did the same thing. If you search the list you'll find the thread
where Hoss gave me the info you need. It really comes down to makeing a
FakeNormsIndexReader. The problem you are having is a result of the
field size normalization.
- mark
Vagelis Kotsonis wrote:
Hi all.
I am trying to make some experiments in an algorithm that scores results by
counting how many words of the query submited are in a document.
For example if i enter the query
A B D A
The similarities I want to get for the documents follows:
A A C F D (2-found A and D)
A B D S S A (3 - found A, B and D)
D D D (1 - only found D)
I built a Similarity that actually sets everything's price as 1.0f except tf
The tf functions returns 1.0f if freq>0 and 0.0f else.
I think that this change does count what I want, but when it comes to show
the score, all are normalized. So, the greater similarity is equal to 1.0f
and the others are lower than 1.0f
How can I "deactivate" the score normalization?
Thank you!
I want to
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