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
