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Apache Lucene EuroCon Call For Participation - Prague, Czech Republic May 20 &
21, 2010
All submissions must be received by Tuesday, April 13, 2010, 12 Midnight CET/6
PM US EDT
The first European conference dedicated to Lucene and Solr is coming to Prague
from May 18-21, 2010. Apache Lucene Eu
On Mon, Mar 29, 2010 at 10:57 AM, Benjamin Patrick Jung
wrote:
>
> [Examples] Search term --> Subset of expected result
> Cinamo~0.5 --> Cinema, Cinnamon [works]
> Strawbarr~0.8 --> Strawberry[doesn't work]
>
> -->
> As far as I understand, the "Edit distance"
> (aka "Levinshtein distance")
Hi all,
I tried to figure out how the fuzzy search implementation
in Apache Lucene works and I'm kinda stuck here.
--> Version : Apache Lucene 3.0.1 (JAVA)
[What I want / need]
I'm looking for a way to combine a prefix-, fuzzy- and wildcard query.
Q: Is it possible to have a query like "user_i
On Mar 25, 2010, at 3:07 PM, Mathias Silbermann wrote:
> Dear Lucene Users,
>
> I'd like to use Lucene to find scientific papers in the index that are
> similar to a given paper from the
> index. This seems to be possible using the MoreLikeThis-feature or wrapping
> the given document
> in a q
OK I opened https://issues.apache.org/jira/browse/LUCENE-2357 for #3.
Mike
On Mon, Mar 29, 2010 at 7:17 AM, Michael McCandless
wrote:
> On #1: Unfortunately, you cannot control the terms index divisor that
> IW uses when opening its internal readers.
>
> Long term we need to factor out the reade
On #1: Unfortunately, you cannot control the terms index divisor that
IW uses when opening its internal readers.
Long term we need to factor out the reader pool that IW uses... so
that an app can provide its own impl that could control this (and
other) settings. There's already work being done to
Hi,
I have some observations when using Lucene with my particular use case, I
thought it may be useful to capture some of these observations.
I need to create and continuously update a Lucene Index where each document
adds (2 to 3) unique terms. The number of documents in the index is between
150
