Hi all,
I have been analysing Elasticsearch results with explain:true condition, I
am not able to understand what technique has been applied to calculate
idf. I went through the lucene scoring formula i.e.
idf(t) = 1+log(NumDocs/Doc frequency+1)
Does not matches my results.
Following is explanation for one of the results returned.
_explanation: {
value: 5.8878393
description: weight(city:chicago in 1) [PerFieldSimilarity], result
of:
details: [
{
value: 5.8878393
description: score(doc=1,freq=1.0 = termFreq=1.0 ), product
of:
details: [
{
value: 0.99999994
description: queryWeight, product of:
details: [
{
value: 5.88784
description: idf(docFreq=2, maxDocs=398)
}
{
value: 0.16984157
description: queryNorm
}
]
}
{
value: 5.88784
description: fieldWeight in 1, product of:
details: [
{
value: 1
description: tf(freq=1.0), with freq of:
details: [
{
value: 1
description: termFreq=1.0
}
]
}
{
value: 5.88784
description: idf(docFreq=2, maxDocs=398)
}
{
value: 1
description: fieldNorm(doc=1)
}
]
}
]
}
]
}
}
Thanks in advance.. :)
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