基于整数值提升分数 - Elasticsearch

Typ*_*war 5 boost filter elasticsearch

我对 ElasticSearch 不太有经验,想知道如何根据某个整数值增强搜索。

这是一个文档的示例:

{
    "_index": "links",
    "_type": "db1",
    "_id": "mV32vWcBZsblNn1WqTcN",
    "_score": 8.115617,
    "_source": {
        "url": "example.com",
        "title": "Example website",
        "description": "This is an example website, used for various of examples around the world",
        "likes": 9,
        "popularity": 543,
        "tags": [
            {
                "name": "example",
                "votes": 5
            },
            {
                "name": "test",
                "votes": 2
            },
            {
                "name": "testing",
                "votes": 1
            }
        ]
    }
}
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现在,在这个特定的搜索中,重点是 ,tags我想知道如何增强并将其乘以下面_score的整数。votestags

如果这是不可能的(或者很难实现),我只是想知道如何_score通过votes(不在tags)来提高

_score例如,为中的每个整数添加 0.1votes

这是我当前使用的搜索查询(用于搜索标签):

{
    "query": {
        "nested": {
            "path": "tags",
            "query": {
                "bool":{
                    "should":{
                        "match":{
                            "tags.name":"example,testing,something else"
                        }
                    }
                }
            }
        }
    }
}
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我在网上找不到太多信息,希望有人能帮助我。

如何使用_score整数值来提升 ?


更新

有关更多信息,请参阅以下映射:

{
    "links": {
        "mappings": {
            "db1": {
                "properties": {
                    "url": {
                        "type": "text",
                        "fields": {
                            "keyword": {
                                "type": "keyword",
                                "ignore_above": 256
                            }
                        }
                    },
                    "title": {
                        "type": "text",
                        "fields": {
                            "keyword": {
                                "type": "keyword",
                                "ignore_above": 256
                            }
                        }
                    },
                    "description": {
                        "type": "text",
                        "fields": {
                            "keyword": {
                                "type": "keyword",
                                "ignore_above": 256
                            }
                        }
                    },
                    "likes": {
                        "type": "long"
                    },
                    "popularity": {
                        "type": "long"
                    },
                    "tags": {
                        "type": "nested",
                        "properties": {
                            "name": {
                                "type": "text",
                                "fields": {
                                    "keyword": {
                                        "type": "keyword",
                                        "ignore_above": 256
                                    }
                                }
                            },
                            "votes": {
                                "type": "long"
                            }
                        }
                    }
                }
            }
        }
    }
}
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更新2

tags.likes/更改tags.dislikestags.votes,并向nestedtags

Typ*_*war 4

这花了很长时间才弄清楚。在去那里的路上我学到了很多东西。

这是最终结果:

{
    "query": {
        "nested": {
            "path": "tags",
            "query": {
                "function_score": {
                    "query": {
                        "bool": {
                            "should": [
                                {
                                    "match": {
                                        "tags.name": "example"
                                    }
                                },
                                {
                                    "match": {
                                        "tags.name": "testing"
                                    }
                                },
                                {
                                    "match": {
                                        "tags.name": "test"
                                    }
                                }
                            ]
                        }
                    },
                    "functions": [
                        {
                            "field_value_factor": {
                                "field": "tags.votes"
                            }
                        }
                    ],
                    "boost_mode": "multiply"
                }
            }
        }
    }
}
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中的数组should有很大帮助,很高兴我可以将它与function_score