It is somehow not recommended to convert scores to percentages.
http://wiki.apache.org/lucene-java/ScoresAsPercentages
> When using lucene to search documents, the results have a
> score based on their relativity to the search term. Inside
> lucene, the score
> percentage is calculated as a p
Hi iorixxx, Thanks a lot for your reply
I had read the link and I understand the concern, however, the normalization
is happening inside lucene. Where the normalizing value is the inverse of
the maxScore.
I can alter the code to leave the original score, however it is a business
requirements to
Can you post the full exception that you hit?
And maybe a standalone test case showing the problem?
Mike
On Mon, Jan 3, 2011 at 1:03 AM, Atul Prajapati wrote:
> Hi,
>
>
>
> we are calling updateDocument(term, document) method on IndexWriter and
> after that we are calling close() method of inde
Dear list,
some questions about the names of the index files.
With an older Lucene/Solr 4.x version from trunk my index looks like:
_2t1.fdt
_2t1.fdx
_2t1.fnm
_2t1.frq
_2t1.nrm
_2t1.prx
_2t1.tii
_2t1.tis
segments_2
segments.gen
With a most recent version from trunk it looks like:
_3a9.fdt
_3a9.fd
> I had read the link and I understand the concern, however,
> the normalization
> is happening inside lucene. Where the normalizing value is
> the inverse of
> the maxScore.
>
> I can alter the code to leave the original score, however
> it is a business
> requirements to view the matching percen
Hey Bernd,
On Mon, Jan 3, 2011 at 1:35 PM, Bernd Fehling
wrote:
> Dear list,
>
> some questions about the names of the index files.
> With an older Lucene/Solr 4.x version from trunk my index looks like:
> _2t1.fdt
> _2t1.fdx
> _2t1.fnm
> _2t1.frq
> _2t1.nrm
> _2t1.prx
> _2t1.tii
> _2t1.tis
> seg
Consider the following.
Query: term1 term2
Doc1: term1 term2
Doc2: term1 term2 term3 term4
Doc3: term1 term1 term3
Doc4: term3 term4
For the above documents, Doc1 and Doc2 will b exact match ( as they contain
all the terms in the search Query). Doc3 is partially match as it contains
term1 only
Hi Simon,
thanks a lot for your good explanation.
Best wishes,
Bernd
Am 03.01.2011 13:51, schrieb Simon Willnauer:
> Hey Bernd,
>
> On Mon, Jan 3, 2011 at 1:35 PM, Bernd Fehling
> wrote:
>> Dear list,
>>
>> some questions about the names of the index files.
>> With an older Lucene/Solr 4.x ve
Hi,
Right now we don't have full stack trace for this exception and this
issue is not easily replicable. We have updated our code to log full
stack trace and once we get this replicated i will post the full stack
trace here.
If anyone have any idea about this then please let us know so we can
inv
There is also the MemoryIndex, which is in contrib and is designed for one
document at a time. That being said, basic grep/regex is probably fast enough.
-Grant
On Dec 29, 2010, at 9:27 PM, Lance Norskog wrote:
> Check out the Instantiated contrib for Lucene. This is an alternative
> in-memory
On Mon, Jan 3, 2011 at 10:16 AM, Grant Ingersoll wrote:
> There is also the MemoryIndex, which is in contrib and is designed for one
> document at a time. That being said, basic grep/regex is probably fast
> enough.
>
In cases where you are doing a 'find' in a document similar to what a
wordpr
So, can we say that if you have something that gives you the "how many query
terms matched" info, will that satisfy your requirement?
Query: term1 term2
Doc1: term1 term2 => n=2 => %100
Doc2: term1 term2 term3 term4 => n=2 => %100
Doc3: term1 term1 term3 => n=1 => %50
Doc4: term2 term3 ter
Hello everybody,
I am currently indexing wikipedia dumps and create an index for versioned
document collections. As far everything is working fine but I have never
thought that single articles of wikipedia would reach a size of around 2 GB!
One article for example has 2 versions with an avera
Thank you guys! Looks like SimpleAnalyzer is OK for my application. I'm still
testing but meanwhile it looks good.
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