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. Canada Cup 2016 C. Hidden Word

    C. Hidden Word time limit per test 2 seconds memory limit per test 256 megabytes input standard inpu ...

  2. (Mac OS平台)升级.NetCore1.0正式版小记

    昨天终于发布了.NetCore1.0正式版.昨晚回去就顺手把手里的一个.NetCore项目升级了一下.还是遇到了一些问题,这里记录下吧. 1.Restore问题 这个问题一直都有,一直放那没去解决.主 ...

  3. Java面试05|MySQL及InnoDB引擎

    1.InnoDB引擎索引 InnoDB支持的索引有以下几种: (1)哈希索引 (2)全文索引 (1)B+树索引 又可以分为聚集索引与辅助索引 索引的创建可以在CREATE TABLE语句中进行,也可以 ...

  4. mongoDB & Nodejs 访问mongoDB (二)

    非常详细的文档http://mongodb.github.io/node-mongodb-native/2.2/quick-start/quick-start/ 连接数据库 安装express 和 m ...

  5. 3101: N皇后

    3101: N皇后 Time Limit: 10 Sec  Memory Limit: 128 MBSec  Special JudgeSubmit: 88  Solved: 41[Submit][S ...

  6. 1734: [Usaco2005 feb]Aggressive cows 愤怒的牛

    1734: [Usaco2005 feb]Aggressive cows 愤怒的牛 Time Limit: 5 Sec  Memory Limit: 64 MBSubmit: 217  Solved: ...

  7. [No0000C1]Excel 删除空白行和空白列VBA代码

    在exce中删除空行和空列的方法有很多,相对而言删除空行较为简单,只需进行筛选,将空白行筛选出来,删除即可,但要删除空列比较困难.因为你不能按列进行筛选删除.Excel中没有这个功能.当然你可以用另外 ...

  8. TensorBoard：Visualizing Learning 学习笔记

    为了更方便的理解.调试和优化TF程序,我们可以使用TensorBoard(可视化工具).可以使用TensorBoard查看graph,绘制图表执行过程中的定量指标.TensorBoard是完全可配置的 ...

  9. Caliburn.Micro - 框架搭建

    简介:Caliburn.Micro是Caliburn的一个轻量级版本开源架构,可以用于wpf,sliverlight,wp7等,和注重模块化的Prism比起来也有许多优点,具体比较可以参考 此文 ht ...

  10. Django REST framework使用ViewSets的自定义路由实现过程

    在Django中使用基于类的视图(ClassView),类中所定义的方法名称与Http的请求方法相对应,才能基于路由将请求分发(dispatch)到ClassView中的方法进行处理,而Django ...