elasticsearch - Elasticsearch 优先搜索以搜索词开头的结果

Question

我需要对以搜索词开头的搜索结果进行优先排序。我使用了“match_phrase_prefix”。我使用了“match_phrase_prefix”。但是不起作用。

详细信息:

• 查询

       GET /test/products/_search?pretty        {           "query": {            "match_phrase_prefix": {             "title": "iphone 5c"            }          }        }

• Result

      "_score": 10.440153    title": "Capa de Tpu para Iphone 5c Modelo Apple + Película"
  "_score": 9.981493,
  "title": "Capa Bumper Iphone 5C + Pelicula",
  
  "_score": 8.610232
  "title": "Pelicula Protetora para Iphone 5C Transparente"
  
  "_score": 5.154923,
  "title": "iPhone 5c Apple 8GB com Tela de 4”, iOS7, Câmera 8MP, Touch Screen, Wi-Fi, 3G/4G, GPS, MP3 e Bluetooth - Rosa"
  
  "_score": 5.154923
  "title": "iPhone 5c Apple 8GB com Tela de 4”, iOS7, Câmera 8MP, Touch Screen, Wi-Fi, 3G/4G, GPS, MP3 e Bluetooth - Branco"
  
  "_score": 5.154923
  "title": "iPhone 5c Apple 8GB com Tela de 4”, iOS7, Câmera 8MP, Touch Screen, Wi-Fi, 3G/4G, GPS, MP3 e Bluetooth - Preto"
  

• 映射

      "mappings": {        "products": {          "properties": {            "title": {               "type": "string",               "analyzer": "brazilian"            }          }        }    }

In this example I need the first result is the device (Iphone 5c)

Answer 1

这是导致标记化问题的分析器的使用。在下面查看您的文档字段是如何被标记化的。

您需要使用关键字分词器。

curl -XGET 'localhost:9200/test/_analyze?analyzer=standard&pretty' -d 'Capa Bumper Iphone 5C' | grep token
  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100   532  100   511  100    21  32800   1347 --:--:-- --:--:-- --:--:-- 34066
  "tokens" : [ {
    "token" : "capa",
    "token" : "bumper",
    "token" : "iphone",
    "token" : "5c",

在您的映射中添加关键字分词器:

https://www.elastic.co/blog/starts-with-phrase-matching