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! >> >> >> >> >> >> >