我正在尝试破译 elasticsearch 响应中的解释 API。但是有点失落。对我来说有点难理解。任何可以更具体地解释 JSON 的简单指针或链接？我对 VSM 中的 TF、IDF 和余弦相似度有所了解。但更具体地需要一些关于 JSON 的指示。理想情况下，如果我能找到一个简单的数学表达式来解释这个 JSON。
{
"_explanation": {
"value": 7.937373,
"description": "sum of:",
"details": [
{
"value": 2.4789724,
"description": "weight(FirstName:M80806 in 35) [PerFieldSimilarity], result of:",
"details": [
{
"value": 2.4789724,
"description": "score(doc=35,freq=1.0), product of:",
"details": [
{
"value": 0.37350902,
"description": "queryWeight, product of:",
"details": [
{
"value": 6.6369815,
"description": "idf(docFreq=720, maxDocs=202323)"
},
{
"value": 0.056276944,
"description": "queryNorm"
}
]
},
{
"value": 6.6369815,
"description": "fieldWeight in 35, product of:",
"details": [
{
"value": 1,
"description": "tf(freq=1.0), with freq of:",
"details": [
{
"value": 1,
"description": "termFreq=1.0"
}
]
},
{
"value": 6.6369815,
"description": "idf(docFreq=720, maxDocs=202323)"
},
{
"value": 1,
"description": "fieldNorm(doc=35)"
}
]
}
]
}
]
},
{
"value": 2.6825092,
"description": "weight(FirstName:M8086 in 35) [PerFieldSimilarity], result of:",
"details": [
{
"value": 2.6825092,
"description": "score(doc=35,freq=1.0), product of:",
"details": [
{
"value": 0.38854012,
"description": "queryWeight, product of:",
"details": [
{
"value": 6.9040728,
"description": "idf(docFreq=551, maxDocs=202323)"
},
{
"value": 0.056276944,
"description": "queryNorm"
}
]
},
{
"value": 6.9040728,
"description": "fieldWeight in 35, product of:",
"details": [
{
"value": 1,
"description": "tf(freq=1.0), with freq of:",
"details": [
{
"value": 1,
"description": "termFreq=1.0"
}
]
},
{
"value": 6.9040728,
"description": "idf(docFreq=551, maxDocs=202323)"
},
{
"value": 1,
"description": "fieldNorm(doc=35)"
}
]
}
]
}
]
},
{
"value": 2.7758915,
"description": "weight(FirstName:MHMT in 35) [PerFieldSimilarity], result of:",
"details": [
{
"value": 2.7758915,
"description": "score(doc=35,freq=1.0), product of:",
"details": [
{
"value": 0.3952451,
"description": "queryWeight, product of:",
"details": [
{
"value": 7.0232153,
"description": "idf(docFreq=489, maxDocs=202323)"
},
{
"value": 0.056276944,
"description": "queryNorm"
}
]
},
{
"value": 7.0232153,
"description": "fieldWeight in 35, product of:",
"details": [
{
"value": 1,
"description": "tf(freq=1.0), with freq of:",
"details": [
{
"value": 1,
"description": "termFreq=1.0"
}
]
},
{
"value": 7.0232153,
"description": "idf(docFreq=489, maxDocs=202323)"
},
{
"value": 1,
"description": "fieldNorm(doc=35)"
}
]
}
]
}
]
}
]
}
}
最佳答案
使用 Ruby gem elasticsearch-explain-response ，您将获得更具可读性的“解释”，例如
require 'elasticsearch'
client = Elasticsearch::Client.new
result = client.explain index: "megacorp", type: "employee", id: "1", q: "last_name:Smith"
puts Elasticsearch::API::Response::ExplainResponse.new(result["explanation"]).render
#=>
1.0 = 1.0(fieldWeight)
1.0 = 1.0(tf(1.0)) x 1.0(idf(2/3)) x 1.0(fieldNorm)
1.0 = 1.0(termFreq=1.0)
关于elasticsearch - 理解elasticsearch查询分数解释，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/33306058/