I replaced the frange filter with the following filter and got the correct
no. of results and it was 3X faster:
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={!edismax
v='news' qf='title^2 body'}
Then, I tried to simplify the query with parameter substitution, but 'fq'
didn't parse correctly:
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=$qq
What is the proper syntax?
Thanks,
Peter
On Thu, Nov 7, 2013 at 2:16 PM, Peter Keegan <[email protected]> wrote:
> I'm trying to used a normalized score in a query as I described in a
> recent thread titled "Re: How to get similarity score between 0 and 1 not
> relative score"
>
> I'm using this query:
> select?qq={!edismax v='news' qf='title^2
> body'}&scaledQ=scale(product(query($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 <
> [email protected]> 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 <[email protected]> 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 <[email protected]>
>> 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)
>> >
>>
>>
>
