Can someone please make sense of why the following occurs in our system.
The first item barely matches but scores higher than the second one that
matches all over the place. The second one is a MUCH better match but has a
worse score. These are in the same query results. All I can see are the
norms but don¹t know how to fix that.
Parsed Query Info
<str name="parsedquery">+((DisjunctionMaxQuery((realBrandName:brown |
subCategory:brown^20.0 | productDescription:brown | width:brown |
personality:brown^10.0 | brandName:brown | productType:brown^8.0 |
productId:brown^10.0 | size:brown^1.2 | category:brown^10.0 | price:brown |
productNameSearch:brown | heelHeight:brown | color:brown^10.0 |
attrs:brown^5.0 | expandedGender:brown^0.5)~0.01)
DisjunctionMaxQuery((realBrandName:shoe | subCategory:shoe^20.0 |
productDescription:shoe | width:shoes | personality:shoe^10.0 |
brandName:shoe | productType:shoe^8.0 | productId:shoes^10.0 |
size:shoes^1.2 | category:shoe^10.0 | price:shoes | productNameSearch:shoe |
heelHeight:shoes | color:shoe^10.0 | attrs:shoe^5.0 |
expandedGender:shoes^0.5)~0.01))~2)
DisjunctionMaxQuery((realBrandName:"brown shoe"~1^10.0 | category:"brown
shoe"~1^10.0 | productNameSearch:"brown shoe"~1 | productDescription:"brown
shoe"~1^2.0 | subCategory:"brown shoe"~1^20.0 | personality:"brown
shoe"~1^2.0 | brandName:"brown shoe"~1^10.0 | productType:"brown
shoe"~1^8.0)~0.01)</str>
<str name="parsedquery_toString">+(((realBrandName:brown |
subCategory:brown^20.0 | productDescription:brown | width:brown |
personality:brown^10.0 | brandName:brown | productType:brown^8.0 |
productId:brown^10.0 | size:brown^1.2 | category:brown^10.0 | price:brown |
productNameSearch:brown | heelHeight:brown | color:brown^10.0 |
attrs:brown^5.0 | expandedGender:brown^0.5)~0.01 (realBrandName:shoe |
subCategory:shoe^20.0 | productDescription:shoe | width:shoes |
personality:shoe^10.0 | brandName:shoe | productType:shoe^8.0 |
productId:shoes^10.0 | size:shoes^1.2 | category:shoe^10.0 | price:shoes |
productNameSearch:shoe | heelHeight:shoes | color:shoe^10.0 | attrs:shoe^5.0
| expandedGender:shoes^0.5)~0.01)~2) (realBrandName:"brown shoe"~1^10.0 |
category:"brown shoe"~1^10.0 | productNameSearch:"brown shoe"~1 |
productDescription:"brown shoe"~1^2.0 | subCategory:"brown shoe"~1^20.0 |
personality:"brown shoe"~1^2.0 | brandName:"brown shoe"~1^10.0 |
productType:"brown shoe"~1^8.0)~0.01</str>
DebugQuery Info
<str name="38959">
0.45851633 = (MATCH) sum of:
0.45851633 = (MATCH) sum of:
0.19769925 = (MATCH) max plus 0.01 times others of:
0.19769925 = (MATCH) weight(color:brown^10.0 in 1407), product of:
0.06819186 = queryWeight(color:brown^10.0), product of:
10.0 = boost
2.8991618 = idf(docFreq=19348, numDocs=129257)
0.0023521234 = queryNorm
2.8991618 = (MATCH) fieldWeight(color:brown in 1407), product of:
1.0 = tf(termFreq(color:brown)=1)
2.8991618 = idf(docFreq=19348, numDocs=129257)
1.0 = fieldNorm(field=color, doc=1407)
0.26081708 = (MATCH) max plus 0.01 times others of:
0.26081708 = (MATCH) weight(subCategory:shoe^20.0 in 1407), product
of:
0.14011127 = queryWeight(subCategory:shoe^20.0), product of:
20.0 = boost
2.9783995 = idf(docFreq=17874, numDocs=129257)
0.0023521234 = queryNorm
1.8614997 = (MATCH) fieldWeight(subCategory:shoe in 1407), product
of:
1.0 = tf(termFreq(subCategory:shoe)=1)
2.9783995 = idf(docFreq=17874, numDocs=129257)
0.625 = fieldNorm(field=subCategory, doc=1407)
</str>
<str name="692583">
0.4086538 = (MATCH) sum of:
0.4086538 = (MATCH) sum of:
0.19769925 = (MATCH) max plus 0.01 times others of:
0.19769925 = (MATCH) weight(color:brown^10.0 in 75829), product of:
0.06819186 = queryWeight(color:brown^10.0), product of:
10.0 = boost
2.8991618 = idf(docFreq=19348, numDocs=129257)
0.0023521234 = queryNorm
2.8991618 = (MATCH) fieldWeight(color:brown in 75829), product of:
1.0 = tf(termFreq(color:brown)=1)
2.8991618 = idf(docFreq=19348, numDocs=129257)
1.0 = fieldNorm(field=color, doc=75829)
0.21095455 = (MATCH) max plus 0.01 times others of:
0.20865366 = (MATCH) weight(subCategory:shoe^20.0 in 75829), product
of:
0.14011127 = queryWeight(subCategory:shoe^20.0), product of:
20.0 = boost
2.9783995 = idf(docFreq=17874, numDocs=129257)
0.0023521234 = queryNorm
1.4891998 = (MATCH) fieldWeight(subCategory:shoe in 75829), product
of:
1.0 = tf(termFreq(subCategory:shoe)=1)
2.9783995 = idf(docFreq=17874, numDocs=129257)
0.5 = fieldNorm(field=subCategory, doc=75829)
0.028179625 = (MATCH) weight(productType:shoe^8.0 in 75829), product
of:
0.029127462 = queryWeight(productType:shoe^8.0), product of:
8.0 = boost
1.5479344 = idf(docFreq=74728, numDocs=129257)
0.0023521234 = queryNorm
0.967459 = (MATCH) fieldWeight(productType:shoe in 75829), product
of:
1.0 = tf(termFreq(productType:shoe)=1)
1.5479344 = idf(docFreq=74728, numDocs=129257)
0.625 = fieldNorm(field=productType, doc=75829)
0.059330944 = (MATCH) weight(category:shoe^10.0 in 75829), product of:
0.04725314 = queryWeight(category:shoe^10.0), product of:
10.0 = boost
2.0089567 = idf(docFreq=47126, numDocs=129257)
0.0023521234 = queryNorm
1.255598 = (MATCH) fieldWeight(category:shoe in 75829), product of:
1.0 = tf(termFreq(category:shoe)=1)
2.0089567 = idf(docFreq=47126, numDocs=129257)
0.625 = fieldNorm(field=category, doc=75829)
0.14257748 = (MATCH) weight(attrs:shoe^5.0 in 75829), product of:
0.07325133 = queryWeight(attrs:shoe^5.0), product of:
5.0 = boost
6.228528 = idf(docFreq=692, numDocs=129257)
0.0023521234 = queryNorm
1.946415 = (MATCH) fieldWeight(attrs:shoe in 75829), product of:
1.0 = tf(termFreq(attrs:shoe)=1)
6.228528 = idf(docFreq=692, numDocs=129257)
0.3125 = fieldNorm(field=attrs, doc=75829)
