Hi Ivan,

No I don't apply any boost at index time.

I did not disable norms on the uname.autocomplete field, I will have to get
back to you on the result. I'm using 0.90.2.

thanks
Eric


On Thu, Mar 27, 2014 at 8:55 PM, Ivan Brusic <[email protected]> wrote:

> The difference is the fieldNorm. This field holds any boosts (both
> document and field level) and any length normalization. It is only 1 byte,
> so it is incredibly lossy. Did you apply an index time boost to either the
> field or document?
>
> Have you tried disabling norms on ngram fields? Which version of
> elasticsearch are you using? I noticed you used the old format
> "omit_norms":true
> instead of
> "norms": { "enabled": false }
>
> --
> Ivan
>
>
> On Thu, Mar 27, 2014 at 1:28 PM, Eric T <[email protected]> wrote:
>
>> Hello,
>>
>> I'm running a test of my query and mapping shown here:
>> https://gist.github.com/ewltang/9c00155525784b620ca9
>>
>> I'm searching for "pauljones" in the uname field. In the results the
>> fifth document containing "pauljones10297" has a score of 16.027834, while
>> the 6th document containing "PaulJones" has a score of 5.008698.
>> Why is the score for the 5th document so much higher than the 6th?
>>
>> Regards,
>> Eric
>>
>>
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