>
>: lucene query result is sort by tf*idf. how/what can i do, to make
>: the result is only by MatchWords Count?
>
>customize your Similarity implementation to eliminate all but the tf()
>(using constant values for the other functions)
>
>
>-Hoss
>
>
>--
Mike in of his replies to the thread "Faceted search using Lucene", gave the
following code review comment
* You are creating a new Analyzer & QueryParser every time, also
creating unnecessary garbage; instead, they should be created once
& reused.
This made me to ask the below questi
: lucene query result is sort by tf*idf. how/what can i do, to make
: the result is only by MatchWords Count?
customize your Similarity implementation to eliminate all but the tf()
(using constant values for the other functions)
-Hoss
--
hi,
lucene query result is sort by tf*idf. how/what can i do, to make the
result is only by MatchWords Count?
thanks
hyj
hongyin...@163.com
2009-03-09
: ok, thanks. Thought the top build.xml was going to build everything
: underneath.
it can, but the default target only builds the core.
try "ant package" or "ant dist"
-Hoss
-
To unsubscribe, e-mail: java-user-unsubscr...@l
Michael McCandless wrote:
You could look at the docID of each hit, and compare to the .maxDoc() of
each underlying reader.
There is also MultiSearcher#subSearcher(int) which also works as you add
more without having to do the maths yourself.
Daniel
--
Daniel Noll
Yes, I changed it to TOKENIZED and its working now, Thanks!
About Luke, what do you mean by saying that the analyzer is in the
classpath?
It exists in a package in my computer - it also has its filter and other
classes. How can it be used in Luke?
2009/3/8 Andrzej Bialecki
> liat oren wrote:
>
liat oren wrote:
Ok, thanks.
I will have to edit the code of Luke in order to add another analyzer,
right?
No - if your analyzer is already on the classpath, then it's enough to
type in the fully qualified class name in the drop down box (it's editable).
--
Best regards,
Andrzej Bialecki
What Shashi said.
On Sun, Mar 8, 2009 at 10:22 AM, Shashi Kant wrote:
> Liat, i think what Erick suggested was to use the TOKENIZED setting instead
> of UN_TOKENIZED. For example your code should read something like:
>
> Document doc = new Document();
> doc.add(new Field(WordIndex.FIELD_WORL
ok, thanks. Thought the top build.xml was going to build everything
underneath.
On Sun, Mar 8, 2009 at 4:09 PM, Uwe Schindler wrote:
> That's normal. To build contrib or demos, you have to execute ant with the
> corresponding targets. The error message about SVN can be ignored.
>
> -
> Uwe S
That's normal. To build contrib or demos, you have to execute ant with the
corresponding targets. The error message about SVN can be ignored.
-
Uwe Schindler
H.-H.-Meier-Allee 63, D-28213 Bremen
http://www.thetaphi.de
eMail: u...@thetaphi.de
> -Original Message-
> From: Raymond Balmès
I get the problem below in trying to build Lucene 2_4.
I'm using Eclipse and just run Ant on the top build.xml.
It is pretty weird because the core is indeed build, but for some reason the
build stops there and I don't get any of the demos build etc...
Any idea what this "svnversion" program is ?
Liat, i think what Erick suggested was to use the TOKENIZED setting instead
of UN_TOKENIZED. For example your code should read something like:
Document doc = new Document();
doc.add(new Field(WordIndex.FIELD_WORLDS, "111 222 333", Field.Store.YES, *
Field.Index.TOKENIZED*));
Unless I am missing s
In Luke, you can select from among most of the analyzers provided by
Lucene, there's a drop-down on the search tab. And I'm sure you can
add your own custom ones, but I confess I've never tried.
Best
Erick
On Sun, Mar 8, 2009 at 4:14 AM, liat oren wrote:
> Ok, thanks.
>
> I will have to edit th
Lucene is an *indexing* engine, it isn't, and shouldn't be, in the
business of domain-specific knowledge, in this case web crawling.
You might look at Nutch, which is a web-crawling and indexing
application that uses Lucene as its underlying search engine, and
there are other web crawlers out ther
Hi Grant,
No, you can only have two words - the score is between two words.
"cat dog" and "dog cat" is equivalent, it will actually always be "cat dog"
- going by alphabetic order.
About the boosting, I read a bit about it - but couldn't find how it can
help me, unless I change every appearance
Hi,
Sounds interesting. Can you tell us a bit more about the use case for
it? Is it basically you are in a situation where you can't unzip the
index?
Also, have you looked at how it performs?
-Grant
On Mar 6, 2009, at 5:02 PM, tsuraan wrote:
I wrote a really basic read-only Directory
Hi Liat,
Some questions inline below.
On Mar 8, 2009, at 5:49 AM, liat oren wrote:
Hi,
I have scores between words, for example - dog and animal have a
score of
0.5 (and not 0), dog and cat have a score of 0.2, etc.
These scores are stored in an index:
Doc1: field words: dog animal
Hi,
I have scores between words, for example - dog and animal have a score of
0.5 (and not 0), dog and cat have a score of 0.2, etc.
These scores are stored in an index:
Doc1: field words: dog animal
field score: 0.5
Doc2: field words: dog cat
field score: 0.2
If the user searc
Ok, thanks.
I will have to edit the code of Luke in order to add another analyzer,
right?
If I need to query a long text - for example to search for articles that are
textually close in their content, I need to parse to the query the text of
the article. Then I get the error that it is too long.
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