弹性搜索：文档中自定义分数字段的影响评分 [英] Elasticsearch: Influence scoring with custom score field in document

问题描述

我有一组通过NLP algos从文本中提取的单词，每个文档中的每个单词都有相关的分数。

例如：

 文档1：{vocab [{wtag：James Bond，rscore：2.14}，
 {wtag：world，rscore：0.86}，
 ....，
 {wtag：somemore，rscore：3.15} 
] 
} 
 
文档2：{vocab：[{wtag：hiii ，rscore：1.34}，
 {wtag：world，rscore：0.94}，
 ....，
 {wtag：somemore ，rscore：3.23} 
] 
} 
  

我想要code> rscore 在每个文档中匹配的 wtag 以影响 _score 给定通过ES，可能乘以或添加到 _score ，以影响最终 _score （反过来，顺序）的结果文件。有没有办法实现这一点？

解决方案

另一种方法是使用嵌套文档：

首先设置映射使 vocab 嵌套文档，这意味着每个 wtag / rscore 文档将作为单独的文档内部索引：

  curl -XPUThttp：// localhost：9200 / myindex /-d'
 {
settings：{number_of_shards：1}，
mappings：{
mytype：{
properties：{
vocab：{
type：nested，
fields：{
 wtag：{
type：string
}，
rscore：{
type：float
} 
} 
} 
} 
} 
} 
}'
  

然后索引您的文档：

  curl -XPUThttp：// localhost：9200 / myi ndex / mytype / 1-d'
 {
vocab：[
 {
wtag：詹姆斯·邦德，
rscore：2.14 
}，
 {
wtag：world，
rscore：0.86 
}，
 {
wtag ：somemore，
rscore：3.15 
} 
] 
}'
 
 curl -XPUThttp：// localhost：9200 / myindex / mytype / 2-d'
 {
vocab：[
 {
wtag：hiii，
rscore：1.34 
}，
 {
wtag：world，
rscore：0.94 
}，
 {
wtag somemore，
rscore：3.23 
} 
] 
}'
  

并运行嵌套查询以匹配所有嵌套文档，并将 rscore 对于匹配的每个嵌套文档：

  curl -XGEThttp：// localhost：9200 / myindex / mytype / _search -d'
 {
query：{
nested：{
path：vocab ，
score_mode：sum，
query：{
function_score：{
query：{
match：{
vocab.wtag：james bond world
} 
}，
script_score：{
script：doc [\rscore\\ \\]。value
} 
} 
} 
} 
} 
}'
  pre> 
I have a set of words extracted out of text through NLP algos, with associated score for each word in every document. 

For example : 
document 1: {  "vocab": [ {"wtag":"James Bond", "rscore": 2.14 }, 
                          {"wtag":"world", "rscore": 0.86 }, 
                          ...., 
                          {"wtag":"somemore", "rscore": 3.15 }
                        ] 
            }

document 2: {  "vocab": [ {"wtag":"hiii", "rscore": 1.34 }, 
                          {"wtag":"world", "rscore": 0.94 },
                          ...., 
                          {"wtag":"somemore", "rscore": 3.23 } 
                        ] 
            }
I want rscores of matched wtag in each document to affect the _score given to it by ES, maybe multiplied or added to the _score, to influence the final _score (in turn, order) of the resulting documents. Is there any way to achieve this?
解决方案
Another way of approaching this would be to use nested documents:

First setup the mapping to make vocab a nested document, meaning that each wtag/rscore document would be indexed internally as a separate document:
curl -XPUT "http://localhost:9200/myindex/" -d'
{
  "settings": {"number_of_shards": 1}, 
  "mappings": {
    "mytype": {
      "properties": {
        "vocab": {
          "type": "nested",
          "fields": {
            "wtag": {
              "type": "string"
            },
            "rscore": {
              "type": "float"
            }
          }
        }
      }
    }
  }
}'
Then index your docs:
curl -XPUT "http://localhost:9200/myindex/mytype/1" -d'
{
  "vocab": [
    {
      "wtag": "James Bond",
      "rscore": 2.14
    },
    {
      "wtag": "world",
      "rscore": 0.86
    },
    {
      "wtag": "somemore",
      "rscore": 3.15
    }
  ]
}'

curl -XPUT "http://localhost:9200/myindex/mytype/2" -d'
{
  "vocab": [
    {
      "wtag": "hiii",
      "rscore": 1.34
    },
    {
      "wtag": "world",
      "rscore": 0.94
    },
    {
      "wtag": "somemore",
      "rscore": 3.23
    }
  ]
}'
And run a nested query to match all the nested documents and add up the values of rscore for each nested document which matches:
curl -XGET "http://localhost:9200/myindex/mytype/_search" -d'
{
  "query": {
    "nested": {
      "path": "vocab",
      "score_mode": "sum",
      "query": {
        "function_score": {
          "query": {
            "match": {
              "vocab.wtag": "james bond world"
            }
          },
          "script_score": {
            "script": "doc[\"rscore\"].value"
          }
        }
      }
    }
  }
}'


                        
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