: on using Lucene but info for the internal workings of Lucene is hard to
: come by.
As with many OS code bases: the code is the documentation.
: 1) I'm using the default QueryParser to parse and return a query so it's
: a Boolean-OR query. So does this mean it uses the DisjunctionSumScorer
: or
Thanks, Chris for your clear explanations, it seems there are a lot info
on using Lucene but info for the internal workings of Lucene is hard to
come by.
I got some more questions which I'll ask in-line.
Chris Hostetter wrote:
: Since i'm using a boolean OR query i figured it must be related
: Since i'm using a boolean OR query i figured it must be related to the
: BooleanScorer (though there's a more complicated BooleanScorer2 which
: I'm not sure when it's use).
There's actually three possible scorers used: ConjunctionScorer can be
used if all of the clauses are required. Most of
Hi,
Since i'm using a boolean OR query i figured it must be related to the
BooleanScorer (though there's a more complicated BooleanScorer2 which
I'm not sure when it's use).
Looking at the BooleanScorer code it's probably a little over my head as
I'm still a beginner to Lucene.
But, I woul
: cosine similarity and need some help. Can anyone tell me in which file
: are the methods of the DefaultSimilarity methods called?
Most of the Similarity methods are called by the various Scorers. A good
IDE will tell you where they are called (or you could just grep the
source, that's what I
Thanks, for posting the "more like this" code. I just began coding my
cosine similarity and need some help. Can anyone tell me in which file
are the methods of the DefaultSimilarity methods called?
For example, looking at the tf method i see that it takes in a float for
freq instead of int.
Eugene wrote:
Any good links on extending the similarity class? A lot of posts
discusses David Spencer's "More Like This" but i can;t find this anywhere.
The "More Like This" code can be found here:
http://svn.apache.org/viewcvs.cgi/lucene/java/trunk/contrib/similarity/
--
I was wondering if anyone has any idea how i can start to implement my
own similarity. I wanna use the cosine similarity measure instead. I was
looking through the past forums posts and saw that quite a few people
have also discussed this, but no real method of doing it was mentioned.
Any good
: I was looking at the new 1.9 api and can't seem to find this expert mode
: of searching.
yonik's refering to all of the methods in the Searcher class that have
"Expert" in their (javadoc) description.
:
http://lucene.apache.org/java/docs/api/org/apache/lucene/search/IndexSearcher.html#search(
I was looking at the new 1.9 api and can't seem to find this expert mode
of searching.
http://lucene.apache.org/java/docs/api/org/apache/lucene/search/IndexSearcher.html#search(org.apache.lucene.search.Weight,%20org.apache.lucene.search.Filter,%20org.apache.lucene.search.HitCollector)
Can you te
On 3/3/06, Eugene <[EMAIL PROTECTED]> wrote:
> Just one more question: Any way in which i can disable this normalization?
We disabled this normalization for in Lucene 1.9 for the "expert"
level search methods on IndexSearcher. Use the search methods that
don't return Hits.
-Yonik
--
Ok, i figured out the normalization it was actually on an earlier post
here:
http://mail-archives.apache.org/mod_mbox/lucene-java-user/200601.mbox/[EMAIL PROTECTED]
Just one more question: Any way in which i can disable this normalization?
Thanks for all the help so far.
--
Eugene
Eugene wro
Hi,
You mentioned:
"The Hits class normalizes scores by dividing all scores by the highest
score, if that highest score is above 1.0."
Can you explain what highest score are we talking about? I think there's
only one score for a query and doc right?
Thanks
Yonik Seeley wrote:
On 3/3/06, Euge
On 3/3/06, Eugene <[EMAIL PROTECTED]> wrote:
> Hi Yonik,
>
> Thanks a lot, I think i understand how explanation works better now.
>
> But, there's something weird I noticed. I've a query like:
> "problem formulation each possible x probability p x y find x p x y
> maximized how compute p x y"
>
> T
Hi Yonik,
Thanks a lot, I think i understand how explanation works better now.
But, there's something weird I noticed. I've a query like:
"problem formulation each possible x probability p x y find x p x y
maximized how compute p x y"
The weird thing is that literals like "problem", "formulat
On 3/2/06, Eugene Ezekiel <[EMAIL PROTECTED]> wrote:
> Thanks Yonik for the reply. I got just a couple more questions,
>
> 1) Why does the explanantion print so many times?
Because it was a compound query with multiple parts to it. It's one explanation
with multiple parts.
>From the explain out
Thanks Yonik for the reply. I got just a couple more questions,
1) Why does the explanantion print so many times?
2) Since my query is made up of multiple terms how do I know what term "x"
is referring to?
On 3/3/06, Yonik Seeley <[EMAIL PROTECTED]> wrote:
>
> I think Lucene in Action does a
I think Lucene in Action does a good job of it.
There is also a formula given in the javadoc for DefaultSimilarity
http://lucene.apache.org/java/docs/api/org/apache/lucene/search/Similarity.html
See my comments below (inline)
On 3/2/06, Eugene <[EMAIL PROTECTED]> wrote:
> Hi All,
>
> I'm not sure
Hi All,
I'm not sure how to interpret the result of the toString method of
Explanation. I'm trying to see the values of each component of the
Default Similarity formula for a particular query and a doc. Given
below is a sample of my Explanation output. Many thanks if anyone could
help expla
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