在搜索结果的开头而不是最终使用elasticsearch匹配搜索词

Question

我有一个查询，我无法回答最相关的答案。

如果我搜索'herp'，结果是

• fu herp
• herp derp
• 酒吧
• herp aa

我最喜欢这个订单

• herp aa
• herp derp
• 酒吧
• fu herp

所以我的问题是，我猜测的是：如何在一系列单词的开头获得更高的分数，而不是更接近结尾的分数？

我使用的分析器看起来像这样：

"analyzer":[
  "autocomplete":[
    "type":"custom",
    "tokenizer":"standard",
    "filter":[ 
      "standard",
      "lowercase",
      "stop",
      "edgeNGramAlpha" 
    ]
  ],
  "filter":[
    "edgeNGramAlpha":[
      "type":"edgeNGram",
      "min_gram":1,
      "max_gram":20
    ]
  ]
]

并且映射看起来像这样（战场但是alla看起来一样）

"name": [
  "type": "multi_field",
  "fields" : [
    "untouched": [
      "type": "string",
      "index": "not_analyzed"
    ],
    "name": [
      "type": "string"
    ],
    "autocomplete": [
      "analyzer":"${language}_autocomplete",
      "type":"string",
    ]
  ]
]

并且查询看起来像这样：

{
  "from": 0,
  "size": 10,
  "query": {
    "filtered": {
      "query": {
        "multi_match": {
          "query": "herp",
          "fields": [
            "name^8",
            "name.autocomplete^4",
            "historic_name.autocomplete"
          ],
          "type": "cross_fields",
          "operator": "AND",
          "analyzer": "standard"
        }
      }
    }
  }
}

Answer 1

实现这一目标的一种方法是首先使用跨度为字段开头的术语提供额外的增强

示例：

{
   "from": 0,
   "size": 10,
   "query": {
      "bool": {
         "disable_coord": true,
         "must": [
            {
               "multi_match": {
                  "query": "herp",
                  "fields": [
                     "name^8",
                     "name.autocomplete^4",
                     "historic_name.autocomplete"
                  ],
                  "analyzer": "standard"
               }
            }
         ],
         "should": [
            {
               "span_first": {
                  "match": {
                     "span_term": {
                        "name": "herp"
                     }
                  },
                  "end": 1,
                  "boost": 1
               }
            },
            {
               "span_first": {
                  "match": {
                     "span_term": {
                        "historic_name": "herp"
                     }
                  },
                  "end": 1,
                  "boost": 1
               }
            }
         ],
         "minimum_number_should_match": 0
      }
   }
}