There's another use case for scaling the score. Suppose I want to compute a
custom score based on the weighted sum of:
- product(0.75, relevance score)
- product(0.25, value from another field)
For this to work, both fields must have values between 0-1, for example.
Toby's example using the scale
Thanks, Anshum. That really helps. Now my question is
Our mid to long term vision is to automate the searches and send results to
users which have higher score. For e.g. records with score higher than 90% or
so, we would like to include in a report and send across to users. But since
the score
I think you are looking for something like this, though you can omit the fq
section:
http://localhost:8983/solr/collection/select?abc=text:bob&q={!func}scale(product(query($abc),1),0,1)&fq={!
frange l=0.9}$q
Also, I don't understand all the fuss about normalized scores. In the
linked example, I
Hi Susheel,
Have a look at this: http://wiki.apache.org/lucene-java/ScoresAsPercentages
You may really want to reconsider doing that.
On Thu, Oct 31, 2013 at 9:41 AM, sushil sharma wrote:
> Hi,
>
> We have a requirement where user would like to see a score (between 0 to
> 1) which can tell h
Hi,
We have a requirement where user would like to see a score (between 0 to 1)
which can tell how close the input search string is with result string. So if
input was very close but not exact matach, score could be .90 etc.
I do understand that we can get score from solr & divide by highest
