可以通过将标签作为嵌套文档建立索引，然后将嵌套查询与自定义分数查询结合使用来完成。在下面的示例中，字词查询找到匹配的标签，自定义分数查询使用“标签”文档的“重量”字段的值作为分数，而嵌套查询使用这些分数的总和作为顶级文档的最终分数。
curl -XDELETE 'http://localhost:9200/test-idx'echocurl -XPUT 'http://localhost:9200/test-idx' -d '{ "mappings": { "doc": { "properties": { "title": { "type": "string" }, "tags": { "type": "nested", "properties": { "tag": { "type": "string", "index": "not_analyzed" }, "weight": { "type": "float" } } } } } }}'echocurl -XPUT 'http://localhost:9200/test-idx/doc/1' -d '{ "title": "1", "tags": [{ "tag": "A", "weight": 1 }, { "tag": "B", "weight": 2 }, { "tag": "C", "weight": 4 }]}'echocurl -XPUT 'http://localhost:9200/test-idx/doc/2' -d '{ "title": "2", "tags": [{ "tag": "B", "weight": 2 }, { "tag": "C", "weight": 3 }]}'echocurl -XPUT 'http://localhost:9200/test-idx/doc/3' -d '{ "title": "3", "tags": [{ "tag": "B", "weight": 2 }, { "tag": "D", "weight": 4 }]}'echocurl -XPOST 'http://localhost:9200/test-idx/_refresh'echo# Example with custom script (slower but more flexable)curl -XGET 'http://localhost:9200/test-idx/doc/_search?pretty=true' -d '{ "query" : { "nested": { "path": "tags", "score_mode": "total", "query": { "custom_score": { "query": { "terms": { "tag": ["A", "B", "D"], "minimum_match" : 1 } }, "script" : "doc['''weight'''].value" } } } }, "fields": []}'echo
