Hi, I have a question on how the scoring being computed on the following query :
{
"from" : 0,
"size" : 60,
"explain" : true,
"track_scores" : true,
"query" : {
"bool" : {
"should" : [
{ "prefix": { "DISPLAY_NAME" : { "value" : "*hap*",
"rewrite" : "top_terms_10", "boost" : "3.0" }}},
{ "prefix": {"PERFORMER" :{ "value" : "*hap*" }}}
]
}
}
}
and it produces result :
1)
"DISPLAY_NAME": "*Happier?*",
, "_explanation": {
"value": *2.7100196*,
"description": "product of:",
"details": [
{
"value": 5.420039,
"description": "sum of:",
"details": [
{
"value": 5.420039,
"description": "sum of:",
"details": [
{
"value": 5.420039,
"description":
"weight(DISPLAY_NAME:happier^3.0 in 32661) [PerFieldSimilarity], result
of:",
"details": [
{
"value": 5.420039,
"description":
"score(doc=32661,freq=1.0 = termFreq=1.0\n), product of:",
"details": [
{
"value":
0.34746242,
"description":
"queryWeight, product of:",
"details": [
{
"value": 3,
"description": "boost"
},
{
*
"value": 15.598923,*
*
"description": "idf(docFreq=2, maxDocs=6566786)"*
},
{
*
"value": 0.0074249236,*
*
"description": "queryNorm"*
}
]
},
{
"value":
15.598923,
"description":
"fieldWeight in 32661, product of:",
"details": [
{
"value": 1,
"description": "tf(freq=1.0), with freq of:",
"details": [
{
"value": 1,
"description": "termFreq=1.0"
}
]
},
{
*
"value": 15.598923,*
*
"description": "idf(docFreq=2, maxDocs=6566786)"*
},
{
"value": 1,
"description": "fieldNorm(doc=32661)"
}
]
}
]
}
]
}
]
}
]
},
{
"value": 0.5,
"description": "coord(1/2)"
}
2)
"DISPLAY_NAME": *"Hap*penings",
,
"_explanation": {
"value": *2.5354335*,
"description": "product of:",
"details": [
{
"value": 5.070867,
"description": "sum of:",
"details": [
{
"value": 5.070867,
"description": "sum of:",
"details": [
{
"value": 5.070867,
"description":
"weight(DISPLAY_NAME:happenings^3.0 in 23093) [PerFieldSimilarity], result
of:",
"details": [
{
"value": 5.070867,
"description":
"score(doc=23093,freq=1.0 = termFreq=1.0\n), product of:",
"details": [
{
"value":
0.33608392,
"description": "
*queryWeight*, product of:",
"details": [
{
"value": 3,
"description": "boost"
},
{
*"value":
15.088098,*
*
"description": "idf(docFreq=4, maxDocs=6566786)"*
},
{
*
"value": 0.0074249236,*
*
"description": "queryNorm"*
}
]
},
{
"value":
15.088098,
"description":
"*fieldWeight
*in 23093, product of:",
"details": [
{
"value": 1,
"description": "tf(freq=1.0), with freq of:",
"details": [
{
"value": 1,
"description": "termFreq=1.0"
}
]
},
{
*
"value": 15.088098,*
*
"description": "idf(docFreq=4, maxDocs=6566786)"*
},
{
"value": 1,
"description": "fieldNorm(doc=23093)"
}
]
}
]
}
]
}
]
}
]
},
{
"value": 0.5,
"description": "coord(1/2)"
}
]
}
}
As both of the display name in the documents matched "*Hap*" it should have
same scoring however it yields different scoring as shown above. Further
inspection on the explaining i found
out that the different is in the queryWeight->idf and fieldWeight->idf
fields :
1) * "value": 15.598923,*
* "description": "idf(docFreq=2, maxDocs=6566786)"*
*2)* *"value": 15.088098,*
* "description": "idf(docFreq=4, maxDocs=6566786)"*
I would like to know why the value is different and how this is being
computed and what is docFreq ? Also i would like to know what is
queryWeight as when i use wildcard and prefix query it only will computed
the score with queryWeight otherwise only fieldWeight.
I am using *&search_type=dfs_query_then_fetch&preference=_primary* in the
query.
And here is the gist for full result :
https://gist.github.com/cheehoo/10439849
Thanks.
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