Even if I get what a I want using the coord method, I would still have the
same problem becuase the similarity would return a number > 1 and
afterwards, the scoring mechanisms would normilize these number to something
<1.0

Thank you!
Vagelis


Otis Gospodnetic wrote:
> 
> Jumping in at this point and not having read other responses, I think the
> function that Vangelis is looking for is coord method in Similarity -
> that's for document terms/query terms overlap, I believe.
> 
> Otis
> 
> ----- Original Message ----
> From: Mark Miller <[EMAIL PROTECTED]>
> To: java-user@lucene.apache.org
> Sent: Thursday, January 18, 2007 5:36:21 PM
> Subject: Re: custom similarity based on tf but greater than 1.0
> 
> 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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