No, As I wrote above
For finlin, 6621468 * 6, 5265266 * 12 (I use payload for this)
and TTD - 6621468 * 3 (I use payload for this)
I search for 6621468 * 3 and it and finlin gets a higher score
2009/5/13 Grant Ingersoll gsing...@apache.org
On May 13, 2009, at 3:04 AM, liat oren wrote:
Thanks a lot, Grant. Yes, this is the case, it is longer than TTD.
Can you also explain me Why in finlin, we have the doc 35433 and in TTD, its
20?
Are these the number of dcuments that contain any of the elements exist in
eaxh word.
So if word TTD contains only 6621468, then 20 is the number of
On May 13, 2009, at 3:04 AM, liat oren wrote:
Thanks a lot, Grant. Yes, this is the case, it is longer than TTD.
Can you also explain me Why in finlin, we have the doc 35433 and in
TTD, its
20?
Are these the number of dcuments that contain any of the elements
exist in
eaxh word.
My
On May 10, 2009, at 5:59 AM, liat oren wrote:
The output is the following:
*finlin, score: 19.366615*
19.366615 = (MATCH) fieldWeight(worlds:6621468^3.0 in 35433),
product of:
4.2426405 = (MATCH) btq, product of:
0.70710677 = tf(phraseFreq=0.5)
6.0 = scorePayload(...)
7.3036084 =
to debug boosting query.
Is there a way to see the term boost in the documents? I see them in spans
in BoostingTermQuery, yet, from there I can't see which document I am in.
If I want to copy some of the document in an index that saves the boosting
- how can it be done?
The problem I am facing
Hi,
I try to debug boosting query.
Is there a way to see the term boost in the documents? I see them in spans
in BoostingTermQuery, yet, from there I can't see which document I am in.
If I want to copy some of the document in an index that saves the boosting -
how can it be done?
The problem I
); Is it the right way to boost
the field? How do i do my above. ? please anyone help me out of this...
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do my above. ? please anyone help me out of this...
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Grant Ingersoll wrote:
First off, I would start by using Lucene's explain functionality to see
why one result appears before the other. The explain method will tell
you all the factors that go into scoring each of your results, as it
goes beyond just term frequency.
Finally, you might find
Hi
On Thu, Mar 19, 2009 at 4:44 PM, Andrzej Bialecki a...@getopt.org wrote:
Grant Ingersoll wrote:
First off, I would start by using Lucene's explain functionality to see
why one result appears before the other. The explain method will tell you
all the factors that go into scoring each of
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