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From Vaghawan Ojha <vaghawan...@gmail.com>
Subject Re: How Does The Score Works In UR
Date Mon, 10 Apr 2017 04:48:08 GMT
Hi Pat,

I did some study and understood some of those complexities, and some are
yet far to be understood. You have put really nice presentation in the doc
site.

I really appreciate your work and help.

Thank you very much!

On Sat, Apr 8, 2017 at 10:12 AM, Vaghawan Ojha <vaghawan781@gmail.com>
wrote:

> Hi Pat,
>
> Thank you very much for the explanation, seems like I forgot to properly
> search this question in the group. By ranking you means the order of the
> product right?
>
> Also I wanted to replicate such dot products of all user history vector
> segments against the correlator fields in the model in a very very small
> data, so that I could have a test of what's really working behind. And also
> I wanted to learn about the implicating algorithms. I've seen the
> presentation in the doc site of UR. Should you have any resources which
> could lead me to better understand all these please point me.
>
> Thanks
> Vaghawan
>
> On Sat, Apr 8, 2017 at 12:16 AM, Pat Ferrel <pat@occamsmachete.com> wrote:
>
>> 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 <vaghawan781@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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