I'm trying to used a normalized score in a query as I described in a recent
thread titled "Re: How to get similarity score between 0 and 1 not relative
score"
I'm using this query:
select?qq={!edismax v='news' qf='title^2
body'}&scaledQ=scale(product(query($qq),1),0,1)&q={!func}sum(product(0.75,$scaledQ),product(0.25,field(myfield)))&fq={!frange
l=0.001}$q
Is there another way to accomplish this using dismax boosting?
On Thu, Nov 7, 2013 at 12:55 PM, Jason Hellman <
jhell...@innoventsolutions.com> wrote:
> You can, of course, us a function range query:
>
> select?q=text:news&fq={!frange l=0 u=100}sum(x,y)
>
>
> http://lucene.apache.org/solr/4_5_1/solr-core/org/apache/solr/search/FunctionRangeQParserPlugin.html
>
> This will give you a bit more flexibility to meet your goal.
>
> On Nov 7, 2013, at 7:26 AM, Erik Hatcher <erik.hatc...@gmail.com> wrote:
>
> > Function queries score (all) documents, but don't filter them. All
> documents effectively match a function query.
> >
> > Erik
> >
> > On Nov 7, 2013, at 1:48 PM, Peter Keegan <peterlkee...@gmail.com> wrote:
> >
> >> Why does this function query return docs that don't match the embedded
> >> query?
> >> select?qq=text:news&q={!func}sum(query($qq),0)
> >
>
>
