Great feature. However, it looks like it is only available in the master
branch: https://github.com/elasticsearch/elasticsearch/issues/3772

-- 
Ivan


On Tue, Jan 7, 2014 at 8:31 AM, Britta Weber <britta.we...@elasticsearch.com
> wrote:

> You could also use a script as described here:
>
>
> http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/modules-advanced-scripting.html
>
>
> Cheers,
> Britta
>
> On Mon, Jan 6, 2014 at 2:13 AM, Ivan Brusic <i...@brusic.com> wrote:
> > You could provide your own Similarity class as a plugin. Don't have any
> > sample code in front of me, but it would be based of  TFIDFSimilarity and
> > you would basically needed to ignore the norms and other values.
> >
> >
> http://lucene.apache.org/core/4_6_0/core/org/apache/lucene/search/similarities/TFIDFSimilarity.html
> >
> > The IDF portion could probably remain since it ranks the different terms
> in
> > your query, not the score of each term.
> >
> > Cheers,
> >
> > Ivan
> >
> >
> >
> > On Sun, Jan 5, 2014 at 1:57 PM, Kevin S <kevinste...@gmail.com> wrote:
> >>
> >> I would like to score based entirely on term count.
> >>
> >> For example, given the following two documents:
> >>
> >> 1) { "apple" }
> >>
> >> 2) { "apple apple" }
> >>
> >> Searching "apple" ranks the first before the second.  I wish to rank the
> >> second, in which the term occurs twice, with a higher score.
> >>
> >> Can someone please point me in the right direction for this?
> >>
> >> Thank you.
> >>
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