: Re: Questions about Lucene scoring (was: Lucene 1.2 - scoring
formula needed)
Well it doesn't since there is not justification of why it is the
way it is. Its like saying, here is that car with 5 weels... enjoy
driving.
- I think the explanations there would also answer at least some
Hello Karl,
I’m very interested in the details of Lucene’s scoring as well.
Karl Koch wrote:
For this reason, I do not understand why Lucene (in version 1.2) normalises the query(!) with
norm_q : sqrt(sum_t((tf_q*idf_t)^2))
which is also called cosine normalisation. This is a technique that
Karl Koch [EMAIL PROTECTED] wrote:
For the documents Lucene employs
its norm_d_t which is explained as:
norm_d_t : square root of number of tokens in d in the same field as t
Actually (by default) it is:
1 / sqrt(#tokens in d with same field as t)
basically just the square root of the
Betreff: Re: Questions about Lucene scoring (was: Lucene 1.2 - scoring formula
needed)
[EMAIL PROTECTED] wrote:
According to these sources, the Lucene scoring formula in version 1.2
is:
score(q,d) = sum_t(tf_q * idf_t / norm_q * tf_d * idf_t / norm_d_t *
boost_t) * coord_q_d
Hi Karl
Well it doesn't since there is not justification of why it is the
way it is. Its like saying, here is that car with 5 weels... enjoy
driving.
- I think the explanations there would also answer at least some of
your
questions.
I hoped it would answer *some* of the questions... (not all)
