Thank you Charlie. This has been very helpful. The reason one boost value is 2.0 while the other is 0.03 is simply because I wasn't sure if the boost I was applying the first place may have been too "gentle". I will start by disabling the boost from nutch's side and install quepid as per your suggestion.
Aratrika -----Original Message----- From: Charlie Hull [mailto:char...@flax.co.uk] Sent: Thursday, February 08, 2018 4:09 AM To: email@example.com Subject: Re: Relevancy Tuning For Solr With Apache Nutch 2.3 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