我想在elasticsearch中更改评分系统，以摆脱对一个术语的多次出现计数的麻烦。例如，我想要：

“德克萨斯州德克萨斯州”

和

“得克萨斯州”

得分相同。我发现elasticsearch表示该映射将禁用词频统计，但是我的搜索结果却不一样：

"mappings":{
"business": {   
   "properties" : {
       "name" : {
          "type" : "string",
          "index_options" : "docs",
          "norms" : { "enabled": false}}
        }
    }
}

}

任何帮助将不胜感激，我无法找到很多有关此的信息。

编辑：

我正在添加搜索代码，并在使用解释时返回了什么。

我的搜索代码：

Settings settings = ImmutableSettings.settingsBuilder().put("cluster.name", "escluster").build();
    Client client = new TransportClient(settings)
    .addTransportAddress(new InetSocketTransportAddress("127.0.0.1", 9300));

    SearchRequest request =  Requests.searchRequest("businesses")
            .source(SearchSourceBuilder.searchSource().query(QueryBuilders.boolQuery()
            .should(QueryBuilders.matchQuery("name", "Texas")
            .minimumShouldMatch("1")))).searchType(SearchType.DFS_QUERY_THEN_FETCH);

    ExplainRequest request2 = client.prepareIndex("businesses", "business")

当我搜索解释时，我得到：

  "took" : 14,
  "timed_out" : false,
  "_shards" : {
    "total" : 3,
    "successful" : 3,
    "failed" : 0
  },
  "hits" : {
    "total" : 2,
    "max_score" : 1.0,
    "hits" : [ {
      "_shard" : 1,
      "_node" : "BTqBPVDET5Kr83r-CYPqfA",
      "_index" : "businesses",
      "_type" : "business",
      "_id" : "AU9U5KBks4zEorv9YI4n",
      "_score" : 1.0,
      "_source":{
"name" : "texas"
}
,
      "_explanation" : {
        "value" : 1.0,
        "description" : "weight(_all:texas in 0) [PerFieldSimilarity], result of:",
        "details" : [ {
          "value" : 1.0,
          "description" : "fieldWeight in 0, product of:",
          "details" : [ {
            "value" : 1.0,
            "description" : "tf(freq=1.0), with freq of:",
            "details" : [ {
              "value" : 1.0,
              "description" : "termFreq=1.0"
            } ]
          }, {
            "value" : 1.0,
            "description" : "idf(docFreq=2, maxDocs=3)"
          }, {
            "value" : 1.0,
            "description" : "fieldNorm(doc=0)"
          } ]
        } ]
      }
    }, {
      "_shard" : 1,
      "_node" : "BTqBPVDET5Kr83r-CYPqfA",
      "_index" : "businesses",
      "_type" : "business",
      "_id" : "AU9U5K6Ks4zEorv9YI4o",
      "_score" : 0.8660254,
      "_source":{
"name" : "texas texas texas"
}
,
      "_explanation" : {
        "value" : 0.8660254,
        "description" : "weight(_all:texas in 0) [PerFieldSimilarity], result of:",
        "details" : [ {
          "value" : 0.8660254,
          "description" : "fieldWeight in 0, product of:",
          "details" : [ {
            "value" : 1.7320508,
            "description" : "tf(freq=3.0), with freq of:",
            "details" : [ {
              "value" : 3.0,
              "description" : "termFreq=3.0"
            } ]
          }, {
            "value" : 1.0,
            "description" : "idf(docFreq=2, maxDocs=3)"
          }, {
            "value" : 0.5,
            "description" : "fieldNorm(doc=0)"
          } ]
        } ]
      }
    } ]
  }

似乎仍在考虑频率和文档频率。有任何想法吗？很抱歉，格式不好，我不知道为什么它看起来如此怪异。

编辑编辑：

我在浏览器中搜索http：// localhost：9200 / businesses / business / _search？pretty =
true＆qname =
texas的代码
是：

    {
  "took" : 2,
  "timed_out" : false,
  "_shards" : {
    "total" : 3,
    "successful" : 3,
    "failed" : 0
  },
  "hits" : {
    "total" : 4,
    "max_score" : 1.0,
    "hits" : [ {
      "_index" : "businesses",
      "_type" : "business",
      "_id" : "AU9YcCKjKvtg8NgyozGK",
      "_score" : 1.0,
      "_source":{"business" : {
"name" : "texas texas texas texas" }
}
    }, {
      "_index" : "businesses",
      "_type" : "business",
      "_id" : "AU9YateBKvtg8Ngyoy-p",
      "_score" : 1.0,
      "_source":{
"name" : "texas" }

    }, {
      "_index" : "businesses",
      "_type" : "business",
      "_id" : "AU9YavVnKvtg8Ngyoy-4",
      "_score" : 1.0,
      "_source":{
"name" : "texas texas texas" }

    }, {
      "_index" : "businesses",
      "_type" : "business",
      "_id" : "AU9Yb7NgKvtg8NgyozFf",
      "_score" : 1.0,
      "_source":{"business" : {
"name" : "texas texas texas" }
}
    } ]
  }
}

它找到我在那里的所有4个对象，并且它们的得分都相同。当我运行Java API搜索并进行解释时，我得到：

    {
  "took" : 2,
  "timed_out" : false,
  "_shards" : {
    "total" : 3,
    "successful" : 3,
    "failed" : 0
  },
  "hits" : {
    "total" : 2,
    "max_score" : 1.287682,
    "hits" : [ {
      "_shard" : 1,
      "_node" : "BTqBPVDET5Kr83r-CYPqfA",
      "_index" : "businesses",
      "_type" : "business",
      "_id" : "AU9YateBKvtg8Ngyoy-p",
      "_score" : 1.287682,
      "_source":{
"name" : "texas" }
,
      "_explanation" : {
        "value" : 1.287682,
        "description" : "weight(name:texas in 0) [PerFieldSimilarity], result of:",
        "details" : [ {
          "value" : 1.287682,
          "description" : "fieldWeight in 0, product of:",
          "details" : [ {
            "value" : 1.0,
            "description" : "tf(freq=1.0), with freq of:",
            "details" : [ {
              "value" : 1.0,
              "description" : "termFreq=1.0"
            } ]
          }, {
            "value" : 1.287682,
            "description" : "idf(docFreq=2, maxDocs=4)"
          }, {
            "value" : 1.0,
            "description" : "fieldNorm(doc=0)"
          } ]
        } ]
      }
    }, {
      "_shard" : 1,
      "_node" : "BTqBPVDET5Kr83r-CYPqfA",
      "_index" : "businesses",
      "_type" : "business",
      "_id" : "AU9YavVnKvtg8Ngyoy-4",
      "_score" : 1.1151654,
      "_source":{
"name" : "texas texas texas" }
,
      "_explanation" : {
        "value" : 1.1151654,
        "description" : "weight(name:texas in 0) [PerFieldSimilarity], result of:",
        "details" : [ {
          "value" : 1.1151654,
          "description" : "fieldWeight in 0, product of:",
          "details" : [ {
            "value" : 1.7320508,
            "description" : "tf(freq=3.0), with freq of:",
            "details" : [ {
              "value" : 3.0,
              "description" : "termFreq=3.0"
            } ]
          }, {
            "value" : 1.287682,
            "description" : "idf(docFreq=2, maxDocs=4)"
          }, {
            "value" : 0.5,
            "description" : "fieldNorm(doc=0)"
          } ]
        } ]
      }
    } ]
  }
}