Elasticsearch - how to make shorter phrase more relevant in result

[Vladimir (Vladimír Čamaj)]

Hi can somebody explain me please how to achieve higher score in search result for shorter phrase in compare with longer phrase? E.g. if I have two words ABCXXX and ABCXXXXX with edge ngram tokenizer and if I want to find ABC token score is the same . I would like to get higher score for ABCXXX and lower for ABCXXXXXX. Mapping looks like:

    {
        "settings": {
            "index": {
                "refresh_interval": "1m",
                "number_of_shards": "1",
                "number_of_replicas": "1",
                "analysis": {
                    "filter": {
                        "autocomplete_filter": {
                            "type": "edge_ngram",
                            "min_gram": "1",
                            "max_gram": "20"
                        }
                    },
                    "analyzer": {
                        "autocomplete": {
                            "filter": [
                                "lowercase",
                                "asciifolding",
                                "autocomplete_filter"
                            ],
                            "type": "custom",
                            "tokenizer": "standard"
                        },
                        "default": {
                            "filter": [
                                "lowercase",
                                "asciifolding"
                            ],
                            "type": "custom",
                            "tokenizer": "standard"
                        }
                    }
                }
            }
        },
        "mappings": {
            "doc": {
                "dynamic": "strict",
                "_all": {
                    "enabled": false
                },
                "properties": {
                    "normalized2": {
                        "type": "text",
                        "analyzer": "autocomplete"
                    }
                }
            }
        }
    }

and the query looks like:

{
    "sort": {
        "_score": "desc"
    },
    "query": {
        "bool": {
            "should": [
                {
                    "term": {
                        "normalized2": {
                            "value": "abc",
                            "boost": 2
                        }
                    }
                }
            ]
        }
    }
}

[abdon (Abdon Pijpelink)]

This post has a good solution: instead of using the edge_ngram filter, use the edge_ngram tokenizer:

  "settings": {
    "index": {
      "refresh_interval": "1m",
      "number_of_shards": "1",
      "number_of_replicas": "1",
      "analysis": {
        "tokenizer": {
          "autocomplete_tokenizer": {
            "type": "edge_ngram",
            "min_gram": "1",
            "max_gram": "20"
          }
        },
        "analyzer": {
          "autocomplete": {
            "filter": [
              "lowercase",
              "asciifolding"
            ],
            "type": "custom",
            "tokenizer": "autocomplete_tokenizer"
          },
          "default": {
            "filter": [
              "lowercase",
              "asciifolding"
            ],
            "type": "custom",
            "tokenizer": "standard"
          }
        }
      }
    }
  }