elasticsearch - ElasticSearch:如何使用edge_ngram并具有真正相关的匹配项以首先显示

Question

我是Elasticsearch的新手，我正在尝试开发一个电子商务搜索，以向用户推荐5〜10个匹配产品。

由于它可以在用户键入时正常工作，因此我们在官方文档中发现使用edge_ngram并使其有效。但是，当我们搜寻进行测试时，结果并非预期。如下面的示例所示(在我们的测试中)

Searching example

如图中所示，术语“Furadeira”(电钻)的结果在电钻本身之前返回附件。如何改善结果？我猜想，即使在字符串中找到匹配项的顺序也会对我有帮助。

因此，这是我到目前为止的代码:

//PUT example

{
    "settings": {
        "number_of_shards": 1, 
        "analysis": {
            "filter": {
                "autocomplete_filter": { 
                    "type":     "edge_ngram",
                    "min_gram": 1,
                    "max_gram": 20
                },
                "portuguese_stop": {
                  "type":       "stop",
                  "stopwords":  "_portuguese_" 
                },
                "portuguese_stemmer": {
                  "type":       "stemmer",
                  "language":   "light_portuguese"
                }
            
            },
            "analyzer": {
                "portuguese": {
                  "type":      "custom",
                    "tokenizer": "standard",
                    "filter": [
                        "lowercase",
                        "portuguese_stop",
                        "portuguese_stemmer"
                    ]
                },
                "autocomplete": {
                    "type":      "custom",
                    "tokenizer": "standard",
                    "filter": [
                        "lowercase",
                        "autocomplete_filter"
                    ]
                }
            }
        }
    } 
}

    /* mapping */ 
//PUT /example/products/_mapping
{
    "products": {
        "properties": {
            "name": {
                "type":            "text",
                "analyzer":  "autocomplete", 
                "search_analyzer": "standard"
            }
        }
    }
}


/* Search */
//GET /example/products/_search
{
  "query" : {
      "query_string": {
          "query" : "furadeira",
          "type" : "most_fields", // Tried without this aswell
          "fields" : [
              "name^8",
              "model^10",
              "manufacturer^4",
              "description" 
              ]
          }
      }
}

/* Product example */
// PUT example/products/38313
{
  "name":	"FITA VEDA FRESTA (ESPUMA 4503) 12X5 M [ H0000164055 ]",
  "description": "Caracteristicas do produto:Ve…Diminui ruidos indesejaveis.",
  "price":21.90,
  "product_id": 38313,
  "image": "http://placehold.it/200x200",
  "quantity": 92,
  "width": 20.200,
  "height":	1.500,
  "length": 21.500,
  "weight": 0.082,
  "model": "167083",
  "manufacturer": "3M DO BRASIL"
}

提前致谢。

Answer 1

您可以将查询增强为所谓的 bool(boolean) 查询，该查询在must子句中包含现有查询，但在should子句中具有一个完全匹配的附加查询(不使用ngrammed字段)。如果查询与should子句匹配，它将得分更高。

请参阅bool query文档。