ElasticSearch打分机制学习

最新推荐文章于 2025-03-31 23:46:52 发布

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最新推荐文章于 2025-03-31 23:46:52 发布 · 5.1k 阅读

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#elasticsearch

本文深入探讨了ElasticSearch的打分机制，包括单字段匹配、multi-match的best_fields和cross_fields模式、should条件的权重、function_score的高级打分以及rescore的重打分策略，详细解析了各项打分因素和应用场景。

创建一个索引

curl -s -XPUT 'http://localhost:9200/gino_test/' -d '{
  "mappings": {
    "tweet": {
      "properties": {
        "text": {
          "type": "string",
          "term_vector": "with_positions_offsets_payloads",
          "store" : true,
          "analyzer" : "fulltext_analyzer"
         },
         "fullname": {
          "type": "string",
          "term_vector": "with_positions_offsets_payloads",
          "analyzer" : "fulltext_analyzer"
        }
      }
    }
  },
  "settings" : {
    "index" : {
      "number_of_shards" : 1,
      "number_of_replicas" : 0
    },
    "analysis": {
      "analyzer": {
        "fulltext_analyzer": {
          "type": "custom",
          "tokenizer": "whitespace",
          "filter": [
            "lowercase",
            "type_as_payload"
          ]
        }
      }
    }
  }
}'

插入测试数据：

_index	_type	_id	text	fullname
gino_test	tweet	1	hello world	gino zhang
gino_test	tweet	2	gino like world cup	gino li
gino_test	tweet	3	my cup	jsper li

简单情况：单字段匹配打分

POST http://192.168.102.216:9200/gino_test/_search
{
  "explain": true,
  "query": {
    "match": {
      "text": "my cup"
    }
  }
}

查询结果： score_example1.json https://drivenotepad.github.io/app/?state={%22action%22:%22open%22,%22ids%22:[%220B4dv03yigoV2VjFIbEI3ZFQwRlk%22]}

打分分析:
https://drive.google.com/open?id=1RZhu9j9NNy30KNYd4qwQ9b6o5utdnyq0yqzDhdW_5uo

https://drive.google.com/open?id=1B4fVZLiGvHAIrKH_zk7jTSVHjcXQC1Byd8tKXbNswck

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ElasticSearch打分机制学习

创建一个索引

简单情况：单字段匹配打分

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