Hello Eric,
our use case is to match feature vectors extracted from pictures in
a performant way with Lucene.
For this, interesting points of a picture will be derived, and each
of them is described by an own vector. So we have one picture, but
several feature vectors (1:n)
When I now want to se
Note that the SpanQuery family are Querys, so they can
be used as clauses of a BooleanQuery just fine.
Making this work will be exciting...
<<>>
I'm having trouble understanding the use case. I don't
understand how the user can make sense of this, but then
it may well be unique to your problem sp
Hello Erick,
thank you very much for this interesting idea - but I'm not sure that the
SpanQuery will make every aspect I search for.
I think the lack is that in the case of a PhraseQuery (and I think also in
the case of the SpanQuery, but I'm not sure about yet), every term must appear
inside th
Christian,
If I understand your situation correctly, you should look at sloppy phrases and
at Span family of queries.
Otis
--
Sematext -- http://sematext.com/ -- Lucene - Solr - Nutch
From: Christian Reuschling <[EMAIL PROTECTED]>
To: java-user@lucene.apache
But this is not the same - Lucene makes it transparent for you whether
you have one or several field entries for one attribute.
The behaviour will be the same in both of these cases:
Lucene document entry:
attName: "term1 term2"
attName: "term3 term4"
or
attName: "term1 term2 term3 term4"
For th
It's entirely unclear to me whether facets could help, since I haven't used
them, I've
seen these mentioned on the SOLR user list, it may bear investigating.
To expand on Stefan's point. I think his solution will work for you quite
well, but
there are a couple of tricks
The first thing to und
On Wednesday 12 November 2008 14:58:53 Christian Reuschling wrote:
> In order to offer some simple 1:n matching, currently we create
> several, counted attributes and expand our queries that we search
> inside each attribute, e.g.:
I use one attribute (Field) multiple times.
Stefan
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