On 07/02/2018 21:59, Mukhopadhyay, Aratrika wrote:
Hello ,
I am attempting to tune my results that I retrieve from solr to boost
the importance of certain fields. The syntax of the query I am using is as
follows :
http://localhost:8983/solr/housegov_data/select?indent=on&q=QUERY&defType=edismax&qf=FIELD1^20.0_FIELD2^0.03&wt=json<http://localhost:8983/solr/housegov_data/select?indent=on&q=QUERY&defType=edismax&qf=FIELD1%5e20.0_FIELD2%5e0.03&wt=json>.
The issue is that this is not boosting anything in most cases or it isn't being able to find any documents that
match this criteria. I have used nutch to crawl websites and indexed the data to solr. I see that nutch applies an
index time boost as well. Could that have something to do with this ? Can anyone look at the format of this query and
enlighten me of any mistakes that I am making.
Hi,
- You seem to have two field incorrectly concatenated with an
underscore: qf=FIELD1^20.0_FIELD2^0.03 - this should be a space or an
encoded space
- a large boost of 20 combined with a fractional boost of 0.03 worries
me as it implies that one field is 666 times as important as another,
are you sure this is the case?
- you should turn off *all* the boosts, including the Nutch one, and
start again, *gently* applying boosts where you can *prove* they improve
relevancy
- you should consider using a tool such as Quepid (disclaimer: we resell
this, but there's a free trial period you can use) for relevancy tuning
based on a set of test cases
HTH,
Charlie
FYI : I am using a data driven schema.
Regards,
Aratrika Mukhopadhyay
--
Charlie Hull
Flax - Open Source Enterprise Search
tel/fax: +44 (0)8700 118334
mobile: +44 (0)7767 825828
web: www.flax.co.uk
