顾名思义，most_field就是匹配词干的字段数越多，分数越高，也可设置权重boost。

下面是简易公式（详细评分算法请参考：http://m.blog.csdn.net/article/details?id=50623948）：

score=match_field1_score*boost+match_field2_score*boost+...match_fieldN_score*boost。

在很多情况下，这种搜索很有效，但存在一个弱点，就是当文档中的字段冗余信息过多，将会影响那些文档比较精炼，而且意思较为全面的分值，

不能使用operator和minimum_should_match来减少相关性低的doc的长尾问题，简单的来说就是按term匹配的个数取胜

例下：

搜索关键字“北京东路”，先下面的分词结果，我们知道它的词干为“北京”与“东路”：

curl   'localhost:9200/fullbiz_index/_analyze?analyzer=ik_smart&pretty=true' -d '{"text":"北京东路"}'

{

   "tokens" : [

      {

         "token" : "text",

         "start_offset" : 2,

         "end_offset" : 6,

         "type" : "ENGLISH",

         "position" : 1

      },

      {

         "token" : "北京",

         "start_offset" : 9,

         "end_offset" : 11,

         "type" : "CN_WORD",

         "position" : 2

      },

      {

         "token" : "东路",

         "start_offset" : 11,

         "end_offset" : 13,

         "type" : "CN_WORD",

         "position" : 3

      }

   ]

}
 
curl  'localhost:9200/fullbiz1/fullbizinfo/_search?pretty' -d '

{

  "from" : 0,

  "size" : 20,

  "query" : {

    "multi_match" : {

      "query" : "北京东路",

      "fields" : [ "title", "highlight", "tags", "address", "businessDistrict", "cuisineStyle" ],

      "type" : "most_fields",

	  "minimum_should_match" : "70%",//这是指最少匹配词干占比，例如三个词干，只要配置了二个以上就算match，66.6%会啥入70%。二个词干或以下，只要匹配了一个就行。所以“北京东路”只要匹配了“北京”或“东路”都可得分

      "analyzer" : "ik_smart" //ik有二种模式，一种是ik_max_word（最细词干法)，ik_smart(最粗词干法)，这里我们配置第二种，以更接近于业务结果。

    }

  },

  "post_filter" : {

    "bool" : {

      "must" : [ {

        "term" : {

          "status" : 0

        }

      }, {

        "term" : {

          "hostDisplay" : 1

        }

      }, {

        "term" : {

          "cityId" : 2

        }

      }, {

        "term" : {

          "productType" : 3

        }

      } ]

    }

  }

}'

 

    "hits" : [ {

      "_index" : "fullbiz1",

      "_type" : "fullbizinfo",

      "_id" : "324239",

      "_score" : 0.33371,

      "_source":{"boost":1,"productId":24239,"productType":3,"subType":2,"title":"城市公牛(南京东路店)","viceTitle":"城市公牛(南京东路店)","personMax":"-1","personMin":"-1","picUrl":"meal/2016/08/11/1470892987880.jpg","recommand":-1,"needReserveTime":-1,"priceStr":"-1","price":"-1","originalPrice":"-1","leadingMinutes":-1,"tags":null,"status":0,"isFree":-1,"duration":"10:00:00-22:30:00","onlineTime":1470280723,"updateTime":1486951326,"applyExpiredTime":0,"beginTime":0,"endTime":0,"isCourse":-1,"isTour":-1,"supportParty":0,"interestedNum":0,"cityId":2,"cityName":"上海","categoryId":"0","categoryName":"","categoryIconUrl":"","businessDistrict":"南京东路","businessDistrictId":73,"hostId":24239,"contactNumber":"13764741956","hostName":"城市公牛(南京东路店)","address":"南京东路300号L221-222室(河南中路口)","hostDisplay":1,"hostPicUrl":"meal/2016/08/11/1470892987880.jpg","hostSharePicUrl":"meal/2016/08/11/1470892987880.jpg","hostLatitude":"31.243455970586","hostLongitude":"121.49099099941","location":{"lat":"31.243455970586","lon":"121.49099099941"},"hostLatitudeGD":"31.237701","hostLongitudeGD":"121.484409","locationGD":{"lat":"31.237701","lon":"121.484409"},"headPics":"","catalogIds":null,"cuisineStyleId":41,"cuisineStyle":"西餐","hideMask":0,"referenceAgeMin":0,"referenceAgeMax":0,"userLimit":-1,"todayReservable":1,"orderNums":3,"pvConversionRate":"-1","interestNums":0,"hotPoints":0,"hostAvgPrice":16000,"hostProductLabelIds":",1,2,4,5,7,8,9,12,13,14,15,","shopPay":0,"hostVipEquities":"0","isHostSale":0,"highlight":"[\"2010年世博会加拿大馆特约餐厅\",\"加拿大简约西部乡村风格小酒馆餐厅\",\"家庭式的用餐氛围 80%均是外国食客\"]","isSeatBook":1,"lastUTCTimestamp":"2017-02-13T10:02:06.000+08:00"}

    }, {

      "_index" : "fullbiz1",

      "_type" : "fullbizinfo",

      "_id" : "392659",

      "_score" : 0.31962717,

      "_source":{"boost":1,"productId":92659,"productType":3,"subType":4,"title":"THAIBEAUTY美容连锁机构(南京东路店)","viceTitle":"THAIBEAUTY美容连锁机构(南京东路店)","personMax":"-1","personMin":"-1","picUrl":"hostInfo/2017/01/11/1484121279773528.jpg","recommand":-1,"needReserveTime":-1,"priceStr":"-1","price":"-1","originalPrice":"-1","leadingMinutes":-1,"tags":"","status":0,"isFree":-1,"duration":null,"onlineTime":1484121281,"updateTime":1484202471,"applyExpiredTime":0,"beginTime":0,"endTime":0,"isCourse":-1,"isTour":-1,"supportParty":0,"interestedNum":0,"cityId":2,"cityName":"上海","categoryId":"0","categoryName":"","categoryIconUrl":"","businessDistrict":"南京东路","businessDistrictId":73,"hostId":92659,"contactNumber":"021-63511876","hostName":"THAIBEAUTY美容连锁机构(南京东路店)","address":"南京东路580号6楼","hostDisplay":1,"hostPicUrl":"hostInfo/2017/01/11/1484121279773528.jpg","hostSharePicUrl":"hostInfo/2017/01/11/1484121279773528.jpg","hostLatitude":"31.241721400027","hostLongitude":"121.48585125776","location":{"lat":"31.241721400027","lon":"121.48585125776"},"hostLatitudeGD":"31.235887","hostLongitudeGD":"121.479289","locationGD":{"lat":"31.235887","lon":"121.479289"},"headPics":"","catalogIds":null,"cuisineStyleId":0,"cuisineStyle":"美容/SPA","hideMask":-1,"referenceAgeMin":0,"referenceAgeMax":0,"userLimit":-1,"todayReservable":0,"orderNums":0,"pvConversionRate":"-1","interestNums":0,"hotPoints":0,"hostAvgPrice":284500,"hostProductLabelIds":",60,","shopPay":0,"hostVipEquities":"0","isHostSale":0,"highlight":"[\"高端局部瘦身\",\"环境舒适 按摩师手法专业\",\"使用高品质产品\"]","isSeatBook":1,"lastUTCTimestamp":"2017-01-12T14:27:51.000+08:00"}

    }, {

      "_index" : "fullbiz1",

      "_type" : "fullbizinfo",

      "_id" : "364804",

      "_score" : 0.31002828,

      "_source":{"boost":1,"productId":64804,"productType":3,"subType":2,"title":"斗牛士(南京东路店)","viceTitle":"斗牛士(南京东路店)","personMax":"-1","personMin":"-1","picUrl":"hostInfo/2016/12/26/1482718008927949.png","recommand":-1,"needReserveTime":-1,"priceStr":"-1","price":"-1","originalPrice":"-1","leadingMinutes":-1,"tags":"","status":0,"isFree":-1,"duration":null,"onlineTime":1482718014,"updateTime":1486569730,"applyExpiredTime":0,"beginTime":0,"endTime":0,"isCourse":-1,"isTour":-1,"supportParty":0,"interestedNum":0,"cityId":2,"cityName":"上海","categoryId":"0","categoryName":"","categoryIconUrl":"","businessDistrict":"南京东路","businessDistrictId":73,"hostId":64804,"contactNumber":"021-33317136","hostName":"斗牛士(南京东路店)","address":"南京东路353号悦荟广场（原353店）7F","hostDisplay":1,"hostPicUrl":"hostInfo/2016/12/26/1482718008927949.png","hostSharePicUrl":"hostInfo/2016/12/26/1482718008927949.png","hostLatitude":"31.24210523683","hostLongitude":"121.49020262932","location":{"lat":"31.24210523683","lon":"121.49020262932"},"hostLatitudeGD":"31.236339","hostLongitudeGD":"121.483623","locationGD":{"lat":"31.236339","lon":"121.483623"},"headPics":"","catalogIds":null,"cuisineStyleId":41,"cuisineStyle":"西餐","hideMask":-1,"referenceAgeMin":0,"referenceAgeMax":0,"userLimit":-1,"todayReservable":0,"orderNums":0,"pvConversionRate":"-1","interestNums":0,"hotPoints":0,"hostAvgPrice":12200,"hostProductLabelIds":",1,","shopPay":0,"hostVipEquities":"0","isHostSale":0,"highlight":"[\"精选进口澳洲安格斯牛排\",\"严控0度低温 保证牛肉鲜嫩\",\"进口原切牛排保证牛肉口感与外观\"]","isSeatBook":1,"lastUTCTimestamp":"2017-02-09T00:02:10.000+08:00"}

.....

      "_index" : "fullbiz1",

      "_type" : "fullbizinfo",

      "_id" : "353771",

      "_score" : 0.7784657,

      "_source":{"boost":1,"productId":53771,"productType":3,"subType":2,"title":"九储堂创意中国菜(外滩店)","viceTitle":"九储堂创意中国菜(外滩店)","personMax":"-1","personMin":"-1","picUrl":"hostInfo/2016/12/26/1482744127546461.jpg","recommand":-1,"needReserveTime":-1,"priceStr":"-1","price":"-1","originalPrice":"-1","leadingMinutes":-1,"tags":"","status":0,"isFree":-1,"duration":null,"onlineTime":1482744132,"updateTime":1486738928,"applyExpiredTime":0,"beginTime":0,"endTime":0,"isCourse":-1,"isTour":-1,"supportParty":0,"interestedNum":0,"cityId":2,"cityName":"上海","categoryId":"0","categoryName":"","categoryIconUrl":"","businessDistrict":"外滩","businessDistrictId":71,"hostId":53771,"contactNumber":"021-63308900","hostName":"九储堂创意中国菜(外滩店)","address":"北京东路398号新协通国际大酒店18楼","hostDisplay":1,"hostPicUrl":"hostInfo/2016/12/26/1482744127546461.jpg","hostSharePicUrl":"hostInfo/2016/12/26/1482744127546461.jpg","hostLatitude":"31.246247363994","hostLongitude":"121.48894308136","location":{"lat":"31.246247363994","lon":"121.48894308136"},"hostLatitudeGD":"31.240463","hostLongitudeGD":"121.48237","locationGD":{"lat":"31.240463","lon":"121.48237"},"headPics":"","catalogIds":null,"cuisineStyleId":25,"cuisineStyle":"创意菜","hideMask":-1,"referenceAgeMin":0,"referenceAgeMax":0,"userLimit":-1,"todayReservable":0,"orderNums":0,"pvConversionRate":"-1","interestNums":0,"hotPoints":0,"hostAvgPrice":19100,"hostProductLabelIds":",1,","shopPay":0,"hostVipEquities":"0","isHostSale":0,"highlight":"[\"新加坡同乐餐饮总厨胡于保先生主理\",\"大厅可容纳150人的宴会 包房5间\",\"靠窗座位亦可欣赏浦江两岸美景\"]","isSeatBook":1,"lastUTCTimestamp":"2017-02-10T23:02:08.000+08:00"}

而结果中有包含“北京东路”完整内容的文档却排在后面，这不科学，为什么会是这个结果，下面我们经过explain来看看评分计算：

curl  'localhost:9200/fullbiz1/fullbizinfo/_search?pretty&explain'  ....后面内容省略，和上面的请求是一样，只加了一个explain，以及size限制第一条，因为信息太多，只分析具体一个文档,下面我们直接看评分部分：

      "_explanation" : {

        "value" : 0.33371,

        "description" : "product of:",

        "details" : [ {

          "value" : 0.66742,

          "description" : "sum of:",

          "details" : [ {

            "value" : 0.28481156,

            "description" : "product of:",

            "details" : [ {

              "value" : 0.5696231,

              "description" : "sum of:",

              "details" : [ {

                "value" : 0.5696231,

                "description" : "weight(title:东路 in 7321) [PerFieldSimilarity], result of:",

                "details" : [ {

                  "value" : 0.5696231,

                  "description" : "score(doc=7321,freq=1.0), product of:",

                  "details" : [ {

                    "value" : 0.25448462,

                    "description" : "queryWeight, product of:",

                    "details" : [ {

                      "value" : 7.1626873,

                      "description" : "idf(docFreq=244, maxDocs=116302)"

                    }, {

                      "value" : 0.03552921,

                      "description" : "queryNorm"

                    } ]

                  }, {

                    "value" : 2.23834,

                    "description" : "fieldWeight in 7321, product of:",

                    "details" : [ {

                      "value" : 1.0,

                      "description" : "tf(freq=1.0), with freq of:",

                      "details" : [ {

                        "value" : 1.0,

                        "description" : "termFreq=1.0"

                      } ]

                    }, {

                      "value" : 7.1626873,

                      "description" : "idf(docFreq=244, maxDocs=116302)"

                    }, {

                      "value" : 0.3125,

                      "description" : "fieldNorm(doc=7321)"

                    } ]

                  } ]

                } ]

              } ]

            }, {

              "value" : 0.5,

              "description" : "coord(1/2)"

            } ]

          }, {

            "value" : 0.067192085,

            "description" : "product of:",

            "details" : [ {

              "value" : 0.13438417,

              "description" : "sum of:",

              "details" : [ {

                "value" : 0.13438417,

                "description" : "weight(address:东路 in 7321) [PerFieldSimilarity], result of:",

                "details" : [ {

                  "value" : 0.13438417,

                  "description" : "score(doc=7321,freq=1.0), product of:",

                  "details" : [ {

                    "value" : 0.1477382,

                    "description" : "queryWeight, product of:",

                    "details" : [ {

                      "value" : 4.158218,

                      "description" : "idf(docFreq=4942, maxDocs=116302)"

                    }, {

                      "value" : 0.03552921,

                      "description" : "queryNorm"

                    } ]

                  }, {

                    "value" : 0.90961015,

                    "description" : "fieldWeight in 7321, product of:",

                    "details" : [ {

                      "value" : 1.0,

                      "description" : "tf(freq=1.0), with freq of:",

                      "details" : [ {

                        "value" : 1.0,

                        "description" : "termFreq=1.0"

                      } ]

                    }, {

                      "value" : 4.158218,

                      "description" : "idf(docFreq=4942, maxDocs=116302)"

                    }, {

                      "value" : 0.21875,

                      "description" : "fieldNorm(doc=7321)"

                    } ]

                  } ]

                } ]

              } ]

            }, {

              "value" : 0.5,

              "description" : "coord(1/2)"

            } ]

          }, {

            "value" : 0.3154164,

            "description" : "product of:",

            "details" : [ {

              "value" : 0.6308328,

              "description" : "sum of:",

              "details" : [ {

                "value" : 0.6308328,

                "description" : "weight(businessDistrict:东路 in 7321) [PerFieldSimilarity], result of:",

                "details" : [ {

                  "value" : 0.6308328,

                  "description" : "score(doc=7321,freq=1.0), product of:",

                  "details" : [ {

                    "value" : 0.22633977,

                    "description" : "queryWeight, product of:",

                    "details" : [ {

                      "value" : 6.3705263,

                      "description" : "idf(docFreq=540, maxDocs=116302)"

                    }, {

                      "value" : 0.03552921,

                      "description" : "queryNorm"

                    } ]

                  }, {

                    "value" : 2.7871053,

                    "description" : "fieldWeight in 7321, product of:",

                    "details" : [ {

                      "value" : 1.0,

                      "description" : "tf(freq=1.0), with freq of:",

                      "details" : [ {

                        "value" : 1.0,

                        "description" : "termFreq=1.0"

                      } ]

                    }, {

                      "value" : 6.3705263,

                      "description" : "idf(docFreq=540, maxDocs=116302)"

                    }, {

                      "value" : 0.4375,

                      "description" : "fieldNorm(doc=7321)"

                    } ]

                  } ]

                } ]

              } ]

            }, {

              "value" : 0.5,

              "description" : "coord(1/2)"

            } ]

          } ]

        }, {

          "value" : 0.5,

          "description" : "coord(3/6)"

        } ]

      }

    } ]

  }

}

从上面分析结果来看，排在前面的这些包含“南京东路”的文档，不是因为匹配度高，而是因为匹配的字段多，所以得分大于下面那个只包含一个“北京东路”字段的文档。

总结：most_field适应于那种字段之间信息差异较大的搜索匹配，像上面那种title中有“东路”，商圈、地址中也有“东路“，冗余信息较多。

Elasticsearch搜索之most_fields分析的更多相关文章

  1. Elasticsearch搜索之cross_fields分析

    cross_fields类型采用了一种以词条为中心(Term-centric)的方法,这种方法和best_fields及most_fields采用的以字段为中心(Field-centric)的方法有很 ...

  2. Elasticsearch搜索之best_fields分析

    顾名思义,best_field就是获取最佳匹配的field,另个可以通过tie_breaker来控制其他field的得分,boost可以设置权重(默认都为1). 下面从宏观上来讲的简单公式: scor ...

  3. 一次 ElasticSearch 搜索优化

    一次 ElasticSearch 搜索优化 1. 环境 ES6.3.2,索引名称 user_v1,5个主分片,每个分片一个副本.分片基本都在11GB左右,GET _cat/shards/user 一共 ...

  4. ElasticSearch搜索介绍四

    ElasticSearch搜索 最基础的搜索: curl -XGET http://localhost:9200/_search 返回的结果为: { "took": 2, &quo ...

  5. elasticsearch indices.recovery 流程分析（索引的_open操作也会触发recovery）——主分片recovery主要是从translog里恢复之前未写完的index，副分片recovery主要是从主分片copy segment和translog来进行恢复

    摘自:https://www.easyice.cn/archives/231 elasticsearch indices.recovery 流程分析与速度优化 目录 [隐藏] 主分片恢复流程 副本分片 ...

  6. ElasticSearch 线程池类型分析之 ExecutorScalingQueue

    ElasticSearch 线程池类型分析之 ExecutorScalingQueue 在ElasticSearch 线程池类型分析之SizeBlockingQueue这篇文章中分析了ES的fixed ...

  7. ElasticSearch 线程池类型分析之 ResizableBlockingQueue

    ElasticSearch 线程池类型分析之 ResizableBlockingQueue 在上一篇文章 ElasticSearch 线程池类型分析之 ExecutorScalingQueue的末尾, ...

  8. Elasticsearch搜索资料汇总

    Elasticsearch 简介 Elasticsearch(ES)是一个基于Lucene 构建的开源分布式搜索分析引擎,可以近实时的索引.检索数据.具备高可靠.易使用.社区活跃等特点,在全文检索.日 ...

  9. 看完这篇还不会 Elasticsearch 搜索,那我就哭了！

    本文主要介绍 ElasticSearch 搜索相关的知识,首先会介绍下 URI Search 和 Request Body Search,同时也会学习什么是搜索的相关性,如何衡量相关性. Search ...

随机推荐

  1. Java垃圾回收学习笔记

    通常来说,要写Java代码,你基本上都没必要听说垃圾回收这个概念的.这不,对于已经写了5年多Java代码的我来说,我还没有哪次经历说是需要使用垃圾回收方面的知识来解决问题的.但是,我依然督促自己花了几 ...

  2. PHP解耦的三重境界（浅谈服务容器）

    阅读本文之前你需要掌握:PHP语法,面向对象 在完成整个软件项目开发的过程中,有时需要多人合作,有时也可以自己独立完成,不管是哪一种,随着代码量上升,写着写着就"失控"了,渐渐&q ...

  3. Spring总结_02_Spring概述

    一.概念准备 1.应用程序:是能完成我们所需要功能的成品,比如购物网站.OA系统. 2.框架:是能完成一定功能的半成品,比如我们可以使用框架进行购物网站开发:框架做一部分功能,我们自己做一部分功能,这 ...

  4. 在 JavaScript 中 prototype 和 __proto__ 有什么区别

    本文主要讲三个 问题 prototype 和 proto function 和 object new 到底发生了什么 prototype 和 proto 首先我们说下在 JS 中,常常让我们感到困惑的 ...

  5. 对VC++6.0爱得深沉（一）安装vc++6.0，支持winXP，win7，win8.1,win10

    [欢迎入坑] 从这里起,我称VC++6.0为小c. 为什么我对小c爱得深沉? 虽然饱受非议,但是,我只想说,我太单纯,小c轻轻松松成功运行在各个win平台,对于我来说她:高速.小巧.便捷.听话.可定制 ...

  6. MapReduce简介以及详细配置

    1.MapReduce(一个分布式运算框架)将数据分为数据块,发送到不同的节点,并行方式处理. 2.NodeManager和DataNode在一个节点上,程序与数据在一个节点. 3.内容分为两个部分 ...

  7. MySql Table错误：is marked as crashed and last (automatic?) 和 Error: Table "mysql"."innodb_table_stats" not found

    一.mysql 执行select 的时候报Table错误:is marked as crashed and last (automatic?) 解决方法如下: 找到mysql的安装目录的bin/myi ...

  8. mysql命令参数详解

    一,MySQL命令行参数 Usage: mysql [OPTIONS] [database] //命令方式 -?, --help //显示帮助信息并退出 -I, --help //显示帮助信息并退出  ...

  9. JAVA-随机读写文件

    File类通过使用 . 来获取当前路径,从而取得文件. File f = new File(".\\Res\\Temp.txt"); 或者直接使用空构造函数: File f = n ...

  10. 20155237 2016-2017-2 《Java程序设计》第5周学习总结

    20155237 2016-2017-2 <Java程序设计>第5周学习总结 教材学习内容总结 语法与继承架构 使用try...catch 与C语言中程序流程和错误处理混在一起不同,Jav ...