Elasticsearch实战（六）---高级搜索 boost控制权重实现搜索结果排名

Elasticsearch 高级搜索，通过boost控制相关度分数，控制搜索结果排名

jzjie

3808人浏览 · 2022-06-25 23:28:31

jzjie · 2022-06-25 23:28:31 发布

Elasticsearch实战- Boost 搜索结果排名

文章目录

- - Elasticsearch实战- Boost 搜索结果排名

1.Boost权重控制

基于文章 Elasticsearch实战（二）—高级查询语法使用前面的文章，我们已经学习了ES基本使用及高级语法

现在问一个问题，百度如何实现我广告优先展示呢？或者淘宝页面中我搜索一个手机，淘宝电商搜索是如何排序的？手机有很多属性，比如手机的销售量，手机广告商的投钱金额，手机销售的评价星级，手机的单价，手机剩余库存等等，在上述排序元素中，是如何排序的？我来告诉你

广告商投钱金额，投放广告钱越多，越容易搜索，排名越靠前
手机的销量，销量越高，越容易搜索，排名越靠前
手机的评级星级，评价好评越多，排名越靠前
然后再是手机的单价，单价越接近手机销售平均值，排名越靠前，商品价格高价/低价都不推荐，平均价反而容易被大家认可
最后才是库存及发货地，库存量剩余多少，发货地哪里等等展示排名

1.1 准备数据

empId:员工id， salary 表示薪资， deptName：部门， address：地址

POST /testboost/_bulk
{"index":{"_id": 1}}
{"empId" : "111","name" : "员工1","age" : 20,"sex" : "男","mobile" : "19000001111","salary":1333,"deptName" : "技术部","address" : "湖北省武汉市洪山区光谷大厦"}
{"index":{"_id": 2}}
{"empId" : "222","name" : "员工2","age" : 25,"sex" : "男","mobile" : "19000002222","salary":15963,"deptName" : "销售部","address" : "湖北省武汉市江汉路"}
{"index":{"_id": 3}}
{ "empId" : "333","name" : "员工3","age" : 30,"sex" : "男","mobile" : "19000003333","salary":20000,"deptName" : "技术部","address" : "湖北省武汉市经济开发区"}
{"index":{"_id": 4}}
{"empId" : "444","name" : "员工4","age" : 20,"sex" : "女","mobile" : "19000004444","salary":5600,"deptName" : "销售部","address" : "湖北省武汉市沌口开发区"}
{"index":{"_id": 5}}
{ "empId" : "555","name" : "员工5","age" : 20,"sex" : "男","mobile" : "19000005555","salary":9665,"deptName" : "测试部","address" : "湖北省武汉市东湖隧道"}
{"index":{"_id": 6}}
{"empId" : "666","name" : "员工6","age" : 30,"sex" : "女","mobile" : "19000006666","salary":30000,"deptName" : "技术部","address" : "湖北省武汉市江汉路"}
{"index":{"_id": 7}}
{"empId" : "777","name" : "员工7","age" : 60,"sex" : "女","mobile" : "19000007777","salary":52130,"deptName" : "测试部","address" : "湖北省黄冈市边城区"}
{"index":{"_id": 8}}
{"empId" : "888","name" : "员工8","age" : 19,"sex" : "女","mobile" : "19000008888","salary":60000,"deptName" : "技术部","address" : "湖北省武汉市江汉大学"}
{"index":{"_id": 9}}
{"empId" : "999","name" : "员工9","age" : 40,"sex" : "男","mobile" : "19000009999","salary":23000,"deptName" : "销售部","address" : "河南省郑州市郑州大学"}
{"index":{"_id": 10}}
{"empId" : "101010","name" : "张湖北","age" : 35,"sex" : "男","mobile" : "19000001010","salary":18000,"deptName" : "测试部","address" : "湖北省武汉市东湖高新"}
{"index":{"_id": 11}}
{"empId" : "111111","name" : "王河南","age" : 61,"sex" : "男","mobile" : "19000001011","salary":10000,"deptName" : "销售部","address" : "河南省开封市河南大学"}
{"index":{"_id": 12}}
{"empId" : "121212","name" : "张大学","age" : 26,"sex" : "女","mobile" : "19000001012","salary":1321,"deptName" : "测试部","address" : "河南省开封市河南大学"}
{"index":{"_id": 13}}
{"empId" : "131313","name" : "李江汉","age" : 36,"sex" : "男","mobile" : "19000001013","salary":1125,"deptName" : "销售部","address" : "河南省郑州市二七区"}
{"index":{"_id": 14}}
{"empId" : "141414","name" : "王技术","age" : 45,"sex" : "女","mobile" : "19000001014","salary":6222,"deptName" : "测试部","address" : "河南省郑州市金水区"}
{"index":{"_id": 15}}
{"empId" : "151515","name" : "张测试","age" : 18,"sex" : "男","mobile" : "19000001015","salary":20000,"deptName" : "技术部","address" : "河南省郑州高新开发区"}

1.2 默认查询

现在想找地址：湖北省且技术部或者销售部的人

get /testboost/_search
{
  "query":{
    "bool": {
      "must": [
        {
          "match_phrase": {
            "address": "湖北省"
          }
        },
        {
          "bool": {
            "should": [
              {
                "match_phrase": {
                  "deptName": "技术部"
                }
              },
              {
                "match_phrase": {
                  "deptName": "销售部"
                }
              }
            ]
          }
        }
      ]
    }
  }
}

可以查看查询结果，每个员工查询出来的结果都携带了一个分数，然后排序是默认按照分数排序的
{员工2 ：score ：3.2875974}
{员工8 ：score : 3.2417724}
{员工3 ：score : 3.1995492}
在这里插入图片描述

1.3 boost控制修改权重

现在想找地址：湖北省且技术部或者销售部的人且我想让销售部的人分数较大优先展示，技术部的人后面展示，分数较小
这种场景就可以用 boost 权重来控制，我现在给销售部加权，boost变为 5，技术部默认 boost就是1 看下分数是否改变

get /testboost/_search
{
  "query":{
    "bool": {
      "must": [
        {
          "match_phrase": {
            "address": "湖北省"
          }
        },
        {
          "bool": {
            "should": [
              {
                "match_phrase": {
                  "deptName":{
                    "query": "技术部", 
                    "boost":1
                  } 
                }
              },
              {
                "match_phrase": {
                 "deptName":{
                    "query": "销售部", 
                    "boost":5
                  } 
                }
              }
            ]
          }
        }
      ]
    }
  }
}

可以查看查询结果，每个员工查询出来的结果都携带了一个分数，销售部加权后分数较高，优先排名，技术部排名靠后
{员工2 ：score ：11.95731}
{员工8 ：score : 11.869268}
{员工3 ：score : 3.2875974}
在这里插入图片描述