new question re edismax: when i turn it on (in solr admin) my score goes
wayyyyyy down. from 772 to 4.9.

what in the edismax query parser would account for that huge nosedive?

-- 
*John Blythe*
Product Manager & Lead Developer

251.605.3071 | j...@curvolabs.com
www.curvolabs.com

58 Adams Ave
Evansville, IN 47713

On Wed, May 20, 2015 at 3:27 PM, John Blythe <j...@curvolabs.com> wrote:

> cool, will check into it some more via testing
>
> --
> *John Blythe*
> Product Manager & Lead Developer
>
> 251.605.3071 | j...@curvolabs.com
> www.curvolabs.com
>
> 58 Adams Ave
> Evansville, IN 47713
>
> On Wed, May 20, 2015 at 3:22 PM, Walter Underwood <wun...@wunderwood.org>
> wrote:
>
>> I believe that boost is a superset of the bq functionality.
>>
>> wunder
>> Walter Underwood
>> wun...@wunderwood.org
>> http://observer.wunderwood.org/  (my blog)
>>
>> On May 20, 2015, at 1:16 PM, John Blythe <j...@curvolabs.com> wrote:
>>
>> > could i do that the same way as my mention of using bq? the docs aren't
>> > very rich in their example or explanation of boost= here:
>> >
>> https://cwiki.apache.org/confluence/display/solr/The+Extended+DisMax+Query+Parser
>> >
>> > thanks!
>> >
>> > --
>> > *John Blythe*
>> > Product Manager & Lead Developer
>> >
>> > 251.605.3071 | j...@curvolabs.com
>> > www.curvolabs.com
>> >
>> > 58 Adams Ave
>> > Evansville, IN 47713
>> >
>> > On Wed, May 20, 2015 at 3:13 PM, Walter Underwood <
>> wun...@wunderwood.org>
>> > wrote:
>> >
>> >> I highly recommend using boost= in edismax rather than bq=. The
>> >> multiplicative boost is stable with a wide range of scores. bq is
>> additive
>> >> and has problems with high or low scores.
>> >>
>> >> wunder
>> >> Walter Underwood
>> >> wun...@wunderwood.org
>> >> http://observer.wunderwood.org/  (my blog)
>> >>
>> >> On May 20, 2015, at 1:04 PM, John Blythe <j...@curvolabs.com> wrote:
>> >>
>> >>> Hi all,
>> >>>
>> >>> I've been fine tuning our current Solr implementation the last week or
>> >> two
>> >>> to get more precise results. We are trying to get our implementation
>> >>> accurate enough to serve as a lightweight machine learning (obviously
>> a
>> >>> misnomer) implementation of sorts. Actual user generated searching is
>> far
>> >>> secondary for our purposes.
>> >>>
>> >>> I've gotten our results to go from confidence scores of ~40-60 for
>> good
>> >>> results to the 700s. So far so good. Edismax seems like it has some
>> >>> promising features, but I'm wondering if it'll be very helpful for our
>> >>> purposes. The only thing that jumps out immediately to me is the bq
>> >> ability
>> >>> in which one of our non-primary fields is used as a means of
>> boosting. In
>> >>> other words, when using our three fields—manufacturer, part number,
>> and
>> >>> description—to find a part, we could bq the category or size field to
>> >> help
>> >>> eliminate false positives from appearing.
>> >>>
>> >>> Is there anything else that you think I should look into regarding
>> >> edismax
>> >>> that could be helpful to our end game?
>> >>>
>> >>> Thanks for any ideas!
>> >>
>> >>
>>
>>
>

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