ElasticSearch中第一個單詞的得分更高

Question

現在，當我說“雞蛋”時，我的搜索結果給了我不想要的結果。 我得到以下信息：

_score: 2.7645843
_source:
  django_id: "18003"
  text: "Bagels, egg"
  content_auto: "Bagels, egg"
  django_ct: "web.fooddes"
  allergies: []
  outdated: false
  id: "web.fooddes.18003"
_explanation:
  value: 2.7645843
  description: "weight(_all:egg in 516) [PerFieldSimilarity], result of:"
  details:
  - value: 2.7645843
    description: "fieldWeight in 516, product of:"
    details:
    - value: 1.4142135
      description: "tf(freq=2.0), with freq of:"
      details:
      - value: 2.0
        description: "termFreq=2.0"
    - value: 5.21295
      description: "idf(docFreq=26, maxDocs=1824)"
    - value: 0.375
      description: "fieldNorm(doc=516)"

作為第一個結果。

而只有通緝犯的五分之一甚至更多：

_score: 2.380459
_source:
  django_id: "01124"
  text: "Egg, white, raw, fresh"
  content_auto: "Egg, white, raw, fresh"
  django_ct: "web.fooddes"
  allergies: []
  outdated: false
  id: "web.fooddes.01124"
_explanation:
  value: 2.3804593
  description: "weight(_all:egg in 1489) [PerFieldSimilarity], result of:"
  details:
  - value: 2.3804593
    description: "score(doc=1489,freq=2.0), product of:"
    details:
    - value: 0.99999994
      description: "queryWeight, product of:"
      details:
      - value: 5.386365
        description: "idf(docFreq=22, maxDocs=1848)"
      - value: 0.18565395
        description: "queryNorm"
    - value: 2.3804595
      description: "fieldWeight in 1489, product of:"
      details:
      - value: 1.4142135
        description: "tf(freq=2.0), with freq of:"
        details:
        - value: 2.0
          description: "termFreq=2.0"
      - value: 5.386365
        description: "idf(docFreq=22, maxDocs=1848)"
      - value: 0.3125
        description: "fieldNorm(doc=1489)"

那是因為第一個結果中的單詞較少，因此結果具有較高的分數，因為在這種情況下，“蛋”更相關。

但是，我希望結果中遇到的第一個單詞最重要。 因此，如果我搜索單詞“ egg”，則應該首先顯示以該單詞開頭的結果。 任何想法如何實現這一點？

Answer 1

感謝https://discuss.elastic.co上的人弄清楚了。

  "query": {
      "bool": {
        "must": { "match": { "_all": request_text }},
        "should":
        {
          "span_first" : {
            "match" : {
                "span_term" : { "_all" : request_text }
            },
            "end" : 1
          }
        }
      }
    }