The limit depends on your data. I tell people to ignore the value as you do 
when searching (no one uses the score when doing searches do they?) Only the 
ranking/ordering makes any real difference.

The score is the sum of dot products of all user history vector segments 
against the correlator fields in the model. If you boost or add properties to 
your queries they multiply times some of the dot products before summation. So 
given any boosting the max is hard to state and we have found no particular use 
for it. Other tuning parameters give you the best ways of affecting the score 
so looking at the score afterwards is not very helpful except to rank results.

 
On Apr 7, 2017, at 1:02 AM, Vaghawan Ojha <vaghawan...@gmail.com> wrote:

Hi, 

I was just curious, how does the score works in the UR, I've seen the UR 
presentation in the documentation site, but I couldn't be sure what it really 
signifies. 

For example: what's the limit of the score? What's the possibly highest score? 

Thanks


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