elasticsearch - 如何增强ES中应子句的某些单词/短语？

Question

我正在使用以下查询:

{
    "_source": [
        "title",
        "bench",
        "id_",
        "court",
        "date",
        "content"
    ],
    "size": 15,
    "from": 0,
    "query": {
        "bool": {
            "must": [
                {
                    "multi_match": {
                        "query": "london",
                        "fields": [
                            "title",
                            "content"
                        ]
                    }
                }
            ],
            "should": [
                {
                    "multi_match": {
                        "query": "London is a beautiful city and has a lot of amazing landmarks. I love the Thames!",
                        "fields": [
                            "title",
                            "content^2"
                        ],
                        "operator": "or"
                    }
                }
            ]
        }
    },
    "highlight": {
        "pre_tags": [
            "<tag1>"
        ],
        "post_tags": [
            "</tag1>"
        ],
        "fields": {
            "content": {}
        },
        "number_of_fragments": 5,
        "fragment_size": 300
    }
}

该查询的合理性是，必须显示伦敦一词，而应查询中的那些词应仅提高得分。我想做的是，在“应该”查询中，我想增加短语“美丽的城市”和“泰晤士河”一词。我该怎么做？

PS:“内容”和“标题”是标准文本字段，没有在其上应用分析器。

问候

Answer 1

您可以在应查询中添加多个子句

{
  "query": {
    "bool": {
      "must": [
        {
          "multi_match": {
            "query": "london",
            "fields": [
              "title",
              "content"
            ]
          }
        }
      ],
      "should": [
        {
          "multi_match": {
            "query": "beautiful city",
            "fields": [
              "title",
              "content^2"
            ],
            "type": "phrase"
          }
        },
        {
          "multi_match": {
            "query": "Thames",
            "fields": [
              "title",
              "content^2"
            ]
          }
        }
      ]
    }
  }
}