For an application that already has a Lucene Index, I would like to
implement a facet search that return result aggregations in two
dimensions. From the Lucene examples [1] I can see how to do a simple
facet search that collects facets in one dimension but I haven't seen
any examples for a two-step
e)
>
> i would expect the second result below to be the first result as it
> is
> shorter and closest hit and first result to be the second result.
>
> NASHUA in results: MAIN DUNSTABLE NASHUA HILLSBOROUGH NEW HAMPSHIRE
> UNITED STATES in the 0 th result
> NASHUA in re
String());
> > }
> > ==
> >
> > I hope it helps :D
> >
> > Best regards,
> > Namgyu Kim
> >
> > P.S. For BM25, the default value in Lucene is k1 = 1.2, b = 0.75.
> >
> > 2019년 6월 14일 (금) 오
I am currently matching botanic names (with possible mis-spellings)
against an indexed referenced list with Lucene. After quick progress in
the beginning, I am struggeling with the proper query design to achieve
a ranking result I want.
Here is an example:
Search term: Acer campestre 'Rozi'
Toke
ifference
> compared to MMapDirectory is typically not worth the hassle. See this
> issue for more discussion.
>
> https://issues.apache.org/jira/browse/LUCENE-8438
>
> Dawid
> On Tue, Sep 25, 2018 at 10:44 AM Matthias Müller
> wrote:
> >
> > Hi,
> >
&
Hi,
Lucene provides different storage options for in-memory indexes. I
found three structures that would qualify for the task:
* RamDirectory (which I currently use for prototyping, but wonder if it
is the ideal choice for my task)
* MemoryIndex, which claims to have better performance and resour
... too quick typing. Of course the highlander principle is at work -
there can only be one.
Am Samstag, den 02.09.2017, 09:27 +0200 schrieb Matthias Müller:
> (lucene 6.6.0)
>
> Hi,
>
> is there a reason why LongRange only provides array-based
> constructors
> and que
(lucene 6.6.0)
Hi,
is there a reason why LongRange only provides array-based constructors
and queries, while LongPoint features varargs?
-Matthias
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