Thanks for the Field.setOmitNorms(true) tip!

Regarding the Similarity implementation I am trying to do, somehow it does

not work.

Here's what I understand:

Scorer implementation uses the method defined in Similarity, to compute

score. (the formula expressed in

"

http://lucene.apache.org/java/docs/api/org/apache/lucene/search/Similarity.

html" is implemented in the scorer.

According to the formula if all my methods return 1, except for tf(freq)

which simply returns freq, all should work.

score(q,d) = SUM (t in q) : tf(freq) * 1 * 1 * 1 * 1 * 1 * 1

By example doc contains 3 times the word "test", and 1 time the word

"example", and the query was looking for both words, the score for the doc

should be 4.

But whatever I do, score is 1.

What I am missing?

Thanks

Phil.

-----Original Message-----

From: Chris Hostetter [mailto:

[hidden email]]

Sent: Thursday, April 27, 2006 2:21 PM

To:

[hidden email]
Subject: Re: Occurence (freq) and ordering

: Upgrading from lucene 1.3 to 1.9.

: We need to order the result in order of occurrences (score of a doc = sum

of

: occurrences of all Query).

: I am just starting to read on Similarity, weights etc.

You are definitely on the right track with Similarity. What you want is a

Similarity implimentation where the values returned by most methods are

either 0 or 1, except for the tf(int) and tf(float) which should be an

identify function.

If you *allways* want *every* query to work this way, then you may also

want to look at using the new Field.setOmitNorms(true) option when you

index your documents. It not only removes the lengthNorm from the scoring

equation, but it can help to reduce the size of your index (which i seem

to recall you were concerned with an another thread)

-Hoss

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