another problem just occurred. These are the results from explain() :

0.27576536 = (MATCH) product of:

0.827296 = (MATCH) sum of:

0.827296 = (MATCH) sum of:

0.24544832 = (MATCH) weight(ti:genetik in 1849319), product of:

0.015469407 = queryWeight(ti:genetik), product of:

10.577795 = idf(docFreq=270)

0.0014624415 = queryNorm

15.866693 = (MATCH) fieldWeight(ti:genetik in 1849319), product of:

1.0 = tf(termFreq(ti:genetik)=1)

10.577795 = idf(docFreq=270)

1.5 = fieldNorm(field=ti, doc=1849319)

0.58184767 = (MATCH) weight(au:knippers in 1849319), product of:

0.020028148 = queryWeight(au:knippers), product of:

13.695007 = idf(docFreq=11)

0.0014624415 = queryNorm

29.051497 = (MATCH) fieldWeight(au:knippers in 1849319), product of:

1.4142135 = tf(termFreq(au:knippers)=2)

13.695007 = idf(docFreq=11)

1.5 = fieldNorm(field=au, doc=1849319)

0.33333334 = coord(1/3)

0.27576536 = (MATCH) product of:

0.827296 = (MATCH) sum of:

0.827296 = (MATCH) sum of:

0.24544832 = (MATCH) weight(ti:genetik in 3221603), product of:

0.015469407 = queryWeight(ti:genetik), product of:

10.577795 = idf(docFreq=270)

0.0014624415 = queryNorm

15.866693 = (MATCH) fieldWeight(ti:genetik in 3221603), product of:

1.0 = tf(termFreq(ti:genetik)=1)

10.577795 = idf(docFreq=270)

1.5 = fieldNorm(field=ti, doc=3221603)

0.58184767 = (MATCH) weight(au:knippers in 3221603), product of:

0.020028148 = queryWeight(au:knippers), product of:

13.695007 = idf(docFreq=11)

0.0014624415 = queryNorm

29.051497 = (MATCH) fieldWeight(au:knippers in 3221603), product of:

1.4142135 = tf(termFreq(au:knippers)=2)

13.695007 = idf(docFreq=11)

1.5 = fieldNorm(field=au, doc=3221603)

0.33333334 = coord(1/3)

As you can see, both are exactly the same. The thing i don't understand is, that the two documents have different documentboosts (the first one got an boost of 1.62 , the second of 1.65) - the boosts are different because the two books got different publication years - but explain() tells me that my fieldNorm value is 1.5.

While indexing i use a new similarity class where lengthNorm just returns 1, so the field length does not matter anymore.

Best Regards

Jens Burkhardt

hossman wrote

: As my subject is telling, i have a little problem with analyzing the

: explain() output.

: I know, that the fieldnorm value consists out of "documentboost, fieldboost

: and lengthNorm".

: Is is possible to recieve the single values? I know that they are multiplied

: while indexing but

: can they be stored so that i can read them when i analyze my search?

the number of terms the docs have in a given field can be determined by

doing a nested iteration over a TermEnum and TermDoc and keeping count,

but there is no way to keep extract the document boost vs the field boost

-- if you want to know what those were later you have to store them

yourselves (in a stored field perhaps).

: The Problem is, that i have 2 Documents I want to compare but the only

: difference is the fieldnorm value

: and i don't know which value exactly makes this difference.

typically the answer to that question for me is "length" because i don't

use field boosts and doc boosts -- if you *do* use field boosts or doc

boosts, you would typically know what you had, and could check what boost

values you had used later (based on whatever source you orriginally built

your index from)

-Hoss

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