The edismax documentation confirms that when a positive % value is provided, solr will round down. If you want solr to round up set your parameter value as '-35%'
On Wed, 16 Dec 2015, 17:28 Binoy Dalal <binoydala...@gmail.com> wrote: > My guess is that solr is rounding down while calculating number of > mandatory terms. > In your case, there are 3 terms, 65% of which is 1.95 which rounded down > is 1, but 67% is 2.01 which rounded down is 2 which conforms with the > results you're seeing. > > Maybe someone else can confirm this. > > On Wed, 16 Dec 2015, 16:56 Ron van der Vegt <ron.van.der.v...@openindex.io> > wrote: > >> Hi, >> >> I'm currently searching with the following query: q="sony+led+tv". >> The minimum should match setting is set on: mm=2<65%. >> So when there are more then two terms, at least 65% of the terms should >> match. >> I'm not using the StopFilterFactory. >> >> When turning on debug, this is the parsedquery_toString: >> >> +(((categoryName_snf:sony^5.0 | name:sony^6.0 | productTypeName:sony^8.0 >> | breadcrumbpath_snf:sony^2.0 | text:sony | title:sony^14.0 | >> salestext:sony | brand:sony^8.0 | salesText_snf:sony)~0.15 >> (categoryName_snf:led^5.0 | name:led^6.0 | productTypeName:led^8.0 | >> breadcrumbpath_snf:led^2.0 | text:led | title:led^14.0 | salestext:led | >> brand:led^8.0 | salesText_snf:led)~0.15 (categoryName_snf:tv^5.0 | >> name:tv^6.0 | productTypeName:tv^8.0 | breadcrumbpath_snf:tv^2.0 | >> text:tv | title:tv^14.0 | salestext:tv | brand:tv^8.0 | >> salesText_snf:tv)~0.15)~1) (title:"sony led tv"~10)~0.15 >> >> While I except that at least two terms should match, because of the 65%, >> i'm also getting hits of documents which seems to match on only one of >> the terms. Below the explain of the hit, which shouldn't be there: >> >> 2.6449876 = sum of: >> 2.6449876 = sum of: >> 2.6449876 = max plus 0.15 times others of: >> 2.6449876 = weight(text:led in 10143) [BM25Similarity], result of: >> 2.6449876 = score(doc=10143,freq=1.0 = termFreq=1.0 >> ), product of: >> 2.6449876 = idf(docFreq=3254, maxDocs=45833) >> 1.0 = tfNorm, computed from: >> 1.0 = termFreq=1.0 >> 1.0 = parameter k1 >> 0.0 = parameter b (norms omitted for field) >> >> When I change the mm to 2<67% then I get the amount of results what I >> expect with 65%, but If I understand correctly then all the terms should >> match. (33,33% + 33,33% = 66,66% is always less then 67%). Did I miss >> something, or is there something else what could effect the minimum >> should match setting? >> >> Thanks in advice! >> >> Ron >> > -- > Regards, > Binoy Dalal > -- Regards, Binoy Dalal
