厦门网站建设阳哥,做网站的不给源文件,宣传网站站点最有效的方式是,茶叶公司商城网站建设需求
基于用户地理位置#xff0c;对酒店做简单的排序#xff0c;非个性化的推荐。酒店评分包含以下#xff1a;
酒店类型#xff08;依赖用户历史订单数据#xff09;#xff1a;希望匹配出更加符合用户使用的酒店类型酒店评分#xff1a;评分高的酒店用户体验感好ge…需求
基于用户地理位置对酒店做简单的排序非个性化的推荐。酒店评分包含以下
酒店类型依赖用户历史订单数据希望匹配出更加符合用户使用的酒店类型酒店评分评分高的酒店用户体验感好geo地理位置评分例如出差的用户距离较近的较为便捷价格评分依赖用户历史订单数据符合用户的消费习惯
实现
基于Elasticsearch 7.4centos7环境。
索引Mapping
{properties: {address: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},addressEn: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},boardRoom: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},brandCode: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},businessZone: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},cityCode: {type: keyword},cityId: {type: long},cityName: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},commentFacilityPoint: {type: float},commentHygienePoint: {type: float},commentPoint: {type: float},commentPositionPoint: {type: float},commentRecommendPercent: {type: float},commentServicePoint: {type: float},diningRoom: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},email: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},factories: {properties: {facilityName: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},facilityType: {type: long},facilityValue: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}}}},fixTime: {type: date,format: yyyy-MM-dd},gdLocation: {type: geo_point},govStar: {type: long},govZone: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},gymnasium: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},hotelCode: {type: keyword},hotelDesc: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},hotelFacility: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},hotelGroup: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},hotelName: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},hotelNameEn: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},hotelService: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},hotelShortDesc: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},hotelStatus: {type: long},hotelTips: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},location: {type: geo_point},mainPicture: {type: keyword},minPrice: {type: float},openingTime: {type: date,format: yyyy-MM-dd},parking: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},phoneNum: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},pickUpService: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},pictures: {properties: {pictureType: {type: long},pictureUrl: {type: keyword}}},postNumber: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},roomCount: {type: long},rooms: {properties: {bedNumber: {type: long},bedWidth: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},checkNumber: {type: long},facilities: {properties: {facilityValue: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},roomCode: {type: keyword}}},pictures: {properties: {pictureUrl: {type: keyword},roomCode: {type: keyword}}},roomArea: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},roomBedType: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},roomCigaretteInfo: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},roomCode: {type: keyword},roomCount: {type: long},roomFloor: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},roomMainPicture: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},roomName: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},windowType: {type: long},wrapRoomName: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}}}},starCode: {type: long},starName: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},swimmingPool: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},trafficInfo: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},type: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}},wifi: {type: text,fields: {keyword: {type: keyword,ignore_above: 256}}}}
}字段的描述
{hotelCode: 酒店编号,hotelName: 酒店中文名,hotelNameEn: 酒店英文名,hotelStatus: 酒店状态:1启用2挂起,cityId: 系统城市ID,cityCode: 城市编号,cityName: 城市名称,openingTime: 开业时间,fixTime: 装修时间,starCode: 星级编号(1,2,3,4,5),starName: 星级描述,govStar: 是否挂牌星级1是0否,phoneNum: 电话,email: 邮件,postNumber: 邮编,location: 百度坐标,gdLocation: 高德坐标,address: 地址,addressEn: 地址,brandCode: 酒店品牌例如“麗枫”。,hotelGroup: 酒店所属集团名称。例如“7天铂涛”。,roomCount: 房间数量,mainPicture: 图片地址,hotelTips: 酒店温馨提示信息,hotelFacility: 酒店设施,hotelService: 酒店服务,hotelShortDesc: 酒店简介,hotelDesc: 酒店详细介绍,trafficInfo: 交通信息,wifi: 是否有免费WIFI字段不为空表示有该项服务,boardRoom: 是否有会议室字段不为空表示有该项服务,diningRoom: 是否有餐厅字段不为空表示有该项服务,parking: 是否有停车场字段不为空表示有该项服务,pickUpService: 是否有接机服务字段不为空表示有该项服务,swimmingPool: 是否有游泳池字段不为空表示有该项服务,gymnasium: 是否有健身房字段不为空表示有该项服务,govZone: 行政区域信息信息来自于“按城市查询县级行政区域”接口,businessZone: 商圈信息,minPrice: 最低价,commentPoint: 酒店点评分数满分5分,commentRecommendPercent: 酒店有百分之多少用户推荐例如90%时数据是90.0,commentPositionPoint: 对于酒店位置的单项点评分数满分5分,commentFacilityPoint: 对于酒店设施的单项点评分数满分5分,commentServicePoint: 对于酒店服务的单项点评分数满分5分,commentHygienePoint: 对于酒店卫生的单项点评分数满分5分
}查询酒店和排序
数据量较大上传不了有需要可私信获取demo酒店数据。
排序方式有推荐、距离、好评、低价、高价这里我们实现推荐排序。
筛选条件也是多样的如下所示这里我们使用距离筛选
评分4.8以上、4.5以上、4.0以上、3.5以上酒店类型民宿、 酒店公寓、青年公寓、特色住宿、别墅、客栈、农家院、电竞酒店、情侣酒店宾客类型外宾适用、港澳台宾客适用特色主题“地铁附近、亲子精选、商务出行、度假休闲、湖畔美居、动人夜景、依山傍水、地标景、四合院酒店设施免费停车、洗衣服、24小时热水、空调、停车场、棋牌室、健身房、接送机服务、洗衣服服务房型大床房、双床房、床位房、单人床房、电竞房、情侣房、影音房、私汤房、亲子房餐食含早距离1km以内、1-3km、3-5km、5-10km
基于地理位置也可以增加其他条件5km范围内的酒店数据使用function_scope排序。
在价格和位置上我们期望和origin数据接近的酒店数据使用了衰减函数进行评分衰减函数详细说明在后面进行说明。
在酒店名称上我们期待根据用户历史订单时间赋予不同的权重使用query_string查询。
注意的是boost_mode使用了replace使用function_score计算的分数避免elasticsearch的文档评分干扰。
增加query 参数_source_includeshotelName,cityName,address,commentPoint,gdLocation,minPrice方便观察数据
{explain: true,query: {function_score: {query: {bool: {must: {match_all: {}},// 根据距离筛选数据filter: {geo_distance: {distance: 5km,gdLocation: {lat: 23.150261,lon: 113.324994}}}}},boost: 5,// max_boost 参数来限制新分数不超过一定的限制。 max_boost: 100,functions: [// 酒店类型(依赖用户历史数据){filter: {// 根据历史数据不同关键词设置权重“青年旅舍”权重1“青年公寓”权重2“酒店公寓”权重3query_string: {query: hotelName:(\青年旅舍\^0.1 or \青年公寓\^0.1 or \酒店公寓\^0.2)}},// 生成从 0 到但不包括 1 均匀分布的分数(非必填)默认情况下它使用内部 Lucene 文档 ID 作为随机源random_score: {// 使用_seq_no字段作为随机源唯一的缺点是如果文档已更新则分数将会更改field: _seq_no,seed: 10},weight: 3},// 衰减函数DECAY_FUNCTION -geo 地理位置评分{// gauss 正常衰减gauss: {// 在origin上偏移offset后随着scale进行衰减gdLocation: {// 用于计算距离的原点 lon,lat(经纬度)origin: 113.324994,23.150261,// 定义计算得分等于衰减参数时距原点 偏移量的距离scale: 2km,// 如果定义了offset则衰减函数将仅计算距离大于offset的文档的衰减函数。默认值为 0。offset: 1km,//衰减参数定义如何在给定scale的距离上对文档进行评分。如果未定义衰减则距离scale上的文档将评分为 0.5。decay: 0.33}},weight: 20},//价格排序(依赖历史数据缺省 150){gauss: {// 在150元基础上偏移30元在100元范围内衰减minPrice: {origin: 150,offset: 0,scale: 50}},weight: 15},// 酒店评分{gauss: {commentPoint: {origin: 5,offset: 1,scale: 2}},weight: 10}],// functions函数的分数与查询的分数相结合// multiply:查询得分与functions得分相乘默认、replace仅使用functions得分忽略查询得分、sum查询得分与functions得分相加、avg平均、max查询得分和functions得分的最大值、min查询得分和functions得分的最小值boost_mode: replace,// Score_mode 指定如何组合计算functions函数的分数// multiply默认分数相乘、sum分数相加、avg分数被平均、max使用最高分数、min:使用最低分数score_mode: sum,// 默认情况下修改分数不会更改匹配的文档。要排除不满足特定分数阈值的文档可以将 min_score 参数设置为所需的分数阈值。min_score: 0}},// 返回距离script_fields: {distance_in_m: {script: doc[gdLocation].arcDistance(23.150261,113.324994)}}
}查询结果
{took: 35,timed_out: false,_shards: {total: 1,successful: 1,skipped: 0,failed: 0},hits: {total: {value: 3244,relation: eq},max_score: 27.109045,hits: [{_shard: [hotel_test][0],_node: cdYh0ptNTP6kMXlVSE8dqA,_index: hotel_test,_type: _doc,_id: HCIc1I0BqMZKQzdgx805,_score: 27.109045,_source: {gdLocation: {lon: 113.318928,lat: 23.118031},address: 华利路172号,cityName: 广州市,commentPoint: 3.7,minPrice: 149.0,hotelName: 美佳酒店公寓(广州星辰大厦店)},fields: {distance_in_m: [3637.0993194146326]},_explanation: {value: 27.109045,description: min of:,details: [{value: 27.109045,description: function score, score mode [sum],details: [{value: 2.2679522,description: function score, product of:,details: [{value: 1.0,description: match filter: (hotelName:\酒 店 公 寓\)^0.2 (hotelName:\青 年 旅 舍\)^0.1 (hotelName:or)^2.0 (hotelName:\青 年 公 寓\)^0.1,details: []},{value: 2.2679522,description: product of:,details: [{value: 0.75598407,description: random score function (seed: 10, field: _seq_no),details: []},{value: 3.0,description: weight,details: []}]}]},{value: 0.0,description: product of:,details: [{value: 0.0,description: Function for field gdLocation:,details: [{value: 0.0,description: exp(-0.5*pow(MIN of: [Math.max(arcDistance(23.118030996993184, 113.31892794929445(doc value),113.324994, 23.150261(origin)) - 1000.0(offset), 0)],2.0)/1803975.3084153999),details: []}]},{value: 20.0,description: weight,details: []}]},{value: 14.995842,description: product of:,details: [{value: 0.9997228,description: Function for field minPrice:,details: [{value: 0.9997228,description: exp(-0.5*pow(MIN[Math.max(Math.abs(149.0(doc value) - 150.0(origin))) - 0.0(offset), 0)],2.0)/1803.3688011112042),details: []}]},{value: 15.0,description: weight,details: []}]},{value: 9.845252,description: product of:,details: [{value: 0.9845252,description: Function for field commentPoint:,details: [{value: 0.9845252,description: exp(-0.5*pow(MIN[Math.max(Math.abs(3.700000047683716(doc value) - 5.0(origin))) - 1.0(offset), 0)],2.0)/2.8853900817779268),details: []}]},{value: 10.0,description: weight,details: []}]}]},{value: 100.0,description: maxBoost,details: []}]}},{_shard: [hotel_test][0],_node: cdYh0ptNTP6kMXlVSE8dqA,_index: hotel_test,_type: _doc,_id: CCId1I0BqMZKQzdg3dtd,_score: 26.72167,_source: {gdLocation: {lon: 113.319571,lat: 23.118040},address: 珠江新城华穗路174,cityName: 广州市,commentPoint: 3.6,minPrice: 157.0,hotelName: 广州华美酒店公寓},fields: {distance_in_m: [3625.479965509789]},_explanation: {value: 26.72167,description: min of:,details: [{value: 26.72167,description: function score, score mode [sum],details: [{value: 2.1975284,description: function score, product of:,details: [{value: 1.0,description: match filter: (hotelName:\酒 店 公 寓\)^0.2 (hotelName:\青 年 旅 舍\)^0.1 (hotelName:or)^2.0 (hotelName:\青 年 公 寓\)^0.1,details: []},{value: 2.1975284,description: product of:,details: [{value: 0.7325095,description: random score function (seed: 10, field: _seq_no),details: []},{value: 3.0,description: weight,details: []}]}]},{value: 0.0,description: product of:,details: [{value: 0.0,description: Function for field gdLocation:,details: [{value: 0.0,description: exp(-0.5*pow(MIN of: [Math.max(arcDistance(23.118039965629578, 113.31957092508674(doc value),113.324994, 23.150261(origin)) - 1000.0(offset), 0)],2.0)/1803975.3084153999),details: []}]},{value: 20.0,description: weight,details: []}]},{value: 14.797592,description: product of:,details: [{value: 0.98650616,description: Function for field minPrice:,details: [{value: 0.98650616,description: exp(-0.5*pow(MIN[Math.max(Math.abs(157.0(doc value) - 150.0(origin))) - 0.0(offset), 0)],2.0)/1803.3688011112042),details: []}]},{value: 15.0,description: weight,details: []}]},{value: 9.726549,description: product of:,details: [{value: 0.97265494,description: Function for field commentPoint:,details: [{value: 0.97265494,description: exp(-0.5*pow(MIN[Math.max(Math.abs(3.5999999046325684(doc value) - 5.0(origin))) - 1.0(offset), 0)],2.0)/2.8853900817779268),details: []}]},{value: 10.0,description: weight,details: []}]}]},{value: 100.0,description: maxBoost,details: []}]}},{_shard: [hotel_test][0],_node: cdYh0ptNTP6kMXlVSE8dqA,_index: hotel_test,_type: _doc,_id: liIX1I0BqMZKQzdgfYmJ,_score: 25.0,_source: {gdLocation: {lon: 113.332040,lat: 23.136532},address: 天河东路153号富海大厦首层,cityName: 广州市,commentPoint: 4.1,minPrice: 150.0,hotelName: IU酒店(广州天河东体育中心地铁站店)},fields: {distance_in_m: [1688.0487591581082]},_explanation: {value: 25.0,description: min of:,details: [{value: 25.0,description: function score, score mode [sum],details: [{value: 0.0,description: product of:,details: [{value: 0.0,description: Function for field gdLocation:,details: [{value: 0.0,description: exp(-0.5*pow(MIN of: [Math.max(arcDistance(23.13653199467808, 113.33203992806375(doc value),113.324994, 23.150261(origin)) - 1000.0(offset), 0)],2.0)/1803975.3084153999),details: []}]},{value: 20.0,description: weight,details: []}]},{value: 15.0,description: product of:,details: [{value: 1.0,description: Function for field minPrice:,details: [{value: 1.0,description: exp(-0.5*pow(MIN[Math.max(Math.abs(150.0(doc value) - 150.0(origin))) - 0.0(offset), 0)],2.0)/1803.3688011112042),details: []}]},{value: 15.0,description: weight,details: []}]},{value: 10.0,description: product of:,details: [{value: 1.0,description: Function for field commentPoint:,details: [{value: 1.0,description: exp(-0.5*pow(MIN[Math.max(Math.abs(4.099999904632568(doc value) - 5.0(origin))) - 1.0(offset), 0)],2.0)/2.8853900817779268),details: []}]},{value: 10.0,description: weight,details: []}]}]},{value: 100.0,description: maxBoost,details: []}]}},{_shard: [hotel_test][0],_node: cdYh0ptNTP6kMXlVSE8dqA,_index: hotel_test,_type: _doc,_id: JyIY1I0BqMZKQzdgnpWo,_score: 25.0,_source: {gdLocation: {lon: 113.346694,lat: 23.173795},address: 天源路134-140号201铺,cityName: 广州市,commentPoint: 4.2,minPrice: 150.0,hotelName: 广州友逸·青舍酒店(天河客运站地铁站店)},fields: {distance_in_m: [3430.6572488915003]},_explanation: {value: 25.0,description: min of:,details: [{value: 25.0,description: function score, score mode [sum],details: [{value: 0.0,description: product of:,details: [{value: 0.0,description: Function for field gdLocation:,details: [{value: 0.0,description: exp(-0.5*pow(MIN of: [Math.max(arcDistance(23.173794960603118, 113.34669392555952(doc value),113.324994, 23.150261(origin)) - 1000.0(offset), 0)],2.0)/1803975.3084153999),details: []}]},{value: 20.0,description: weight,details: []}]},{value: 15.0,description: product of:,details: [{value: 1.0,description: Function for field minPrice:,details: [{value: 1.0,description: exp(-0.5*pow(MIN[Math.max(Math.abs(150.0(doc value) - 150.0(origin))) - 0.0(offset), 0)],2.0)/1803.3688011112042),details: []}]},{value: 15.0,description: weight,details: []}]},{value: 10.0,description: product of:,details: [{value: 1.0,description: Function for field commentPoint:,details: [{value: 1.0,description: exp(-0.5*pow(MIN[Math.max(Math.abs(4.199999809265137(doc value) - 5.0(origin))) - 1.0(offset), 0)],2.0)/2.8853900817779268),details: []}]},{value: 10.0,description: weight,details: []}]}]},{value: 100.0,description: maxBoost,details: []}]}},{_shard: [hotel_test][0],_node: cdYh0ptNTP6kMXlVSE8dqA,_index: hotel_test,_type: _doc,_id: YCIZ1I0BqMZKQzdgKJuj,_score: 25.0,_source: {gdLocation: {lon: 113.333399,lat: 23.192820},address: 沙太路283号天健装饰城N栋,cityName: 广州市,commentPoint: 4.2,minPrice: 150.0,hotelName: 广州OK好主题商务酒店(南方医科大学店)},fields: {distance_in_m: [4809.715858252524]},_explanation: {value: 25.0,description: min of:,details: [{value: 25.0,description: function score, score mode [sum],details: [{value: 0.0,description: product of:,details: [{value: 0.0,description: Function for field gdLocation:,details: [{value: 0.0,description: exp(-0.5*pow(MIN of: [Math.max(arcDistance(23.1928199948743, 113.33339896984398(doc value),113.324994, 23.150261(origin)) - 1000.0(offset), 0)],2.0)/1803975.3084153999),details: []}]},{value: 20.0,description: weight,details: []}]},{value: 15.0,description: product of:,details: [{value: 1.0,description: Function for field minPrice:,details: [{value: 1.0,description: exp(-0.5*pow(MIN[Math.max(Math.abs(150.0(doc value) - 150.0(origin))) - 0.0(offset), 0)],2.0)/1803.3688011112042),details: []}]},{value: 15.0,description: weight,details: []}]},{value: 10.0,description: product of:,details: [{value: 1.0,description: Function for field commentPoint:,details: [{value: 1.0,description: exp(-0.5*pow(MIN[Math.max(Math.abs(4.199999809265137(doc value) - 5.0(origin))) - 1.0(offset), 0)],2.0)/2.8853900817779268),details: []}]},{value: 10.0,description: weight,details: []}]}]},{value: 100.0,description: maxBoost,details: []}]}},{_shard: [hotel_test][0],_node: cdYh0ptNTP6kMXlVSE8dqA,_index: hotel_test,_type: _doc,_id: LCIX1I0BqMZKQzdgP4dj,_score: 24.995842,_source: {gdLocation: {lon: 113.347091,lat: 23.174963},address: 天源路150号,cityName: 广州市,commentPoint: 4.1,minPrice: 149.0,hotelName: 广州源悦商务酒店(天河客运站店)},fields: {distance_in_m: [3556.3638692192253]},_explanation: {value: 24.995842,description: min of:,details: [{value: 24.995842,description: function score, score mode [sum],details: [{value: 0.0,description: product of:,details: [{value: 0.0,description: Function for field gdLocation:,details: [{value: 0.0,description: exp(-0.5*pow(MIN of: [Math.max(arcDistance(23.174962978810072, 113.34709097631276(doc value),113.324994, 23.150261(origin)) - 1000.0(offset), 0)],2.0)/1803975.3084153999),details: []}]},{value: 20.0,description: weight,details: []}]},{value: 14.995842,description: product of:,details: [{value: 0.9997228,description: Function for field minPrice:,details: [{value: 0.9997228,description: exp(-0.5*pow(MIN[Math.max(Math.abs(149.0(doc value) - 150.0(origin))) - 0.0(offset), 0)],2.0)/1803.3688011112042),details: []}]},{value: 15.0,description: weight,details: []}]},{value: 10.0,description: product of:,details: [{value: 1.0,description: Function for field commentPoint:,details: [{value: 1.0,description: exp(-0.5*pow(MIN[Math.max(Math.abs(4.099999904632568(doc value) - 5.0(origin))) - 1.0(offset), 0)],2.0)/2.8853900817779268),details: []}]},{value: 10.0,description: weight,details: []}]}]},{value: 100.0,description: maxBoost,details: []}]}},{_shard: [hotel_test][0],_node: cdYh0ptNTP6kMXlVSE8dqA,_index: hotel_test,_type: _doc,_id: vCIY1I0BqMZKQzdgGY-9,_score: 24.995842,_source: {gdLocation: {lon: 113.300959,lat: 23.143710},address: 永福路3号,cityName: 广州市,commentPoint: 4.1,minPrice: 151.0,hotelName: 窝趣公寓(广州永福黄花岗地铁站店)},fields: {distance_in_m: [2563.1222106598048]},_explanation: {value: 24.995842,description: min of:,details: [{value: 24.995842,description: function score, score mode [sum],details: [{value: 0.0,description: product of:,details: [{value: 0.0,description: Function for field gdLocation:,details: [{value: 0.0,description: exp(-0.5*pow(MIN of: [Math.max(arcDistance(23.143709963187575, 113.30095899291337(doc value),113.324994, 23.150261(origin)) - 1000.0(offset), 0)],2.0)/1803975.3084153999),details: []}]},{value: 20.0,description: weight,details: []}]},{value: 14.995842,description: product of:,details: [{value: 0.9997228,description: Function for field minPrice:,details: [{value: 0.9997228,description: exp(-0.5*pow(MIN[Math.max(Math.abs(151.0(doc value) - 150.0(origin))) - 0.0(offset), 0)],2.0)/1803.3688011112042),details: []}]},{value: 15.0,description: weight,details: []}]},{value: 10.0,description: product of:,details: [{value: 1.0,description: Function for field commentPoint:,details: [{value: 1.0,description: exp(-0.5*pow(MIN[Math.max(Math.abs(4.099999904632568(doc value) - 5.0(origin))) - 1.0(offset), 0)],2.0)/2.8853900817779268),details: []}]},{value: 10.0,description: weight,details: []}]}]},{value: 100.0,description: maxBoost,details: []}]}},{_shard: [hotel_test][0],_node: cdYh0ptNTP6kMXlVSE8dqA,_index: hotel_test,_type: _doc,_id: pCIX1I0BqMZKQzdgfYmJ,_score: 24.995842,_source: {gdLocation: {lon: 113.280966,lat: 23.133804},address: 建设大马路13号,cityName: 广州市,commentPoint: 4.3,minPrice: 151.0,hotelName: 7天优品酒店(广州建设大马路店)},fields: {distance_in_m: [4859.477242418425]},_explanation: {value: 24.995842,description: min of:,details: [{value: 24.995842,description: function score, score mode [sum],details: [{value: 0.0,description: product of:,details: [{value: 0.0,description: Function for field gdLocation:,details: [{value: 0.0,description: exp(-0.5*pow(MIN of: [Math.max(arcDistance(23.133803978562355, 113.28096597455442(doc value),113.324994, 23.150261(origin)) - 1000.0(offset), 0)],2.0)/1803975.3084153999),details: []}]},{value: 20.0,description: weight,details: []}]},{value: 14.995842,description: product of:,details: [{value: 0.9997228,description: Function for field minPrice:,details: [{value: 0.9997228,description: exp(-0.5*pow(MIN[Math.max(Math.abs(151.0(doc value) - 150.0(origin))) - 0.0(offset), 0)],2.0)/1803.3688011112042),details: []}]},{value: 15.0,description: weight,details: []}]},{value: 10.0,description: product of:,details: [{value: 1.0,description: Function for field commentPoint:,details: [{value: 1.0,description: exp(-0.5*pow(MIN[Math.max(Math.abs(4.300000190734863(doc value) - 5.0(origin))) - 1.0(offset), 0)],2.0)/2.8853900817779268),details: []}]},{value: 10.0,description: weight,details: []}]}]},{value: 100.0,description: maxBoost,details: []}]}},{_shard: [hotel_test][0],_node: cdYh0ptNTP6kMXlVSE8dqA,_index: hotel_test,_type: _doc,_id: 9iMk1I0BqMZKQzdgQzUI,_score: 24.983374,_source: {gdLocation: {lon: 113.327053,lat: 23.192682},address: 广州大道北同和镇蟹山村牌坊侧,cityName: 广州市,commentPoint: 4.4,minPrice: 148.0,hotelName: 城市便捷酒店(广州南方医院同和地铁站店)},fields: {distance_in_m: [4721.698475981125]},_explanation: {value: 24.983374,description: min of:,details: [{value: 24.983374,description: function score, score mode [sum],details: [{value: 0.0,description: product of:,details: [{value: 0.0,description: Function for field gdLocation:,details: [{value: 0.0,description: exp(-0.5*pow(MIN of: [Math.max(arcDistance(23.19268198683858, 113.32705294713378(doc value),113.324994, 23.150261(origin)) - 1000.0(offset), 0)],2.0)/1803975.3084153999),details: []}]},{value: 20.0,description: weight,details: []}]},{value: 14.983374,description: product of:,details: [{value: 0.9988916,description: Function for field minPrice:,details: [{value: 0.9988916,description: exp(-0.5*pow(MIN[Math.max(Math.abs(148.0(doc value) - 150.0(origin))) - 0.0(offset), 0)],2.0)/1803.3688011112042),details: []}]},{value: 15.0,description: weight,details: []}]},{value: 10.0,description: product of:,details: [{value: 1.0,description: Function for field commentPoint:,details: [{value: 1.0,description: exp(-0.5*pow(MIN[Math.max(Math.abs(4.400000095367432(doc value) - 5.0(origin))) - 1.0(offset), 0)],2.0)/2.8853900817779268),details: []}]},{value: 10.0,description: weight,details: []}]}]},{value: 100.0,description: maxBoost,details: []}]}},{_shard: [hotel_test][0],_node: cdYh0ptNTP6kMXlVSE8dqA,_index: hotel_test,_type: _doc,_id: VCIc1I0BqMZKQzdgHMU6,_score: 24.983374,_source: {gdLocation: {lon: 113.335878,lat: 23.136834},address: 龙口西路65号天信大厦B座,cityName: 广州市,commentPoint: 4.2,minPrice: 152.0,hotelName: 七橙商务公寓(广州岗顶地铁站龙口西店)},fields: {distance_in_m: [1862.1268585567427]},_explanation: {value: 24.983374,description: min of:,details: [{value: 24.983374,description: function score, score mode [sum],details: [{value: 0.0,description: product of:,details: [{value: 0.0,description: Function for field gdLocation:,details: [{value: 0.0,description: exp(-0.5*pow(MIN of: [Math.max(arcDistance(23.13683399464935, 113.33587791770697(doc value),113.324994, 23.150261(origin)) - 1000.0(offset), 0)],2.0)/1803975.3084153999),details: []}]},{value: 20.0,description: weight,details: []}]},{value: 14.983374,description: product of:,details: [{value: 0.9988916,description: Function for field minPrice:,details: [{value: 0.9988916,description: exp(-0.5*pow(MIN[Math.max(Math.abs(152.0(doc value) - 150.0(origin))) - 0.0(offset), 0)],2.0)/1803.3688011112042),details: []}]},{value: 15.0,description: weight,details: []}]},{value: 10.0,description: product of:,details: [{value: 1.0,description: Function for field commentPoint:,details: [{value: 1.0,description: exp(-0.5*pow(MIN[Math.max(Math.abs(4.199999809265137(doc value) - 5.0(origin))) - 1.0(offset), 0)],2.0)/2.8853900817779268),details: []}]},{value: 10.0,description: weight,details: []}]}]},{value: 100.0,description: maxBoost,details: []}]}}]}
}DECAY_FUNCTION - 衰减函数
衰减函数Decay Function是一个数学函数它用于描述一个数量随着时间、距离或其他因素递减的过程。衰减函数通常是指数函数或者多项式函数的形式用以模拟现象如电磁波的衰减、放射性物质的衰变、药物在体内的代谢等。
在地理信息系统Geographic Information Systems, GIS或地理学领域中衰减函数可以用来衡量地理位置之间的相互作用或影响随距离的递减。例如一个城市的经济影响力对附近的城镇可能很大但对更远的城镇影响则小得多衰减函数可以用来量化这种影响力的减弱程度。
以下是一些衰减函数在地理领域的应用示例 空间相互作用模型在模拟城市之间的人口迁移、商业交往或通勤模式时衰减函数可以用来表示随着距离增加这些互动的可能性怎样降低。 热点分析在热点分析中可以用衰减函数来确定某一事件如犯罪、病例报告等对周围区域的影响随距离递减。 可达性评估在评估某个地点对于居民的可达性时可以使用衰减函数来模拟不同交通模式步行、开车等的时间或距离衰减。 地理加权回归Geographically Weighted Regression, GWR在地理加权回归分析中衰减函数用于赋予数据点一个权重这个权重基于数据点之间的空间距离更近的点有更大的影响力。
在具体应用中选择合适的衰减函数类型和参数对模型结果的精确性有很大影响。常见的衰减函数形式包括
指数衰减函数f(d) e^(-λd)其中d是距离λ是衰减系数。幂律衰减函数f(d) d^(-β)其中d是距离β是衰减系数。
这些函数的参数通常需要根据实际数据进行拟合和调整以最好地反映现实世界中的衰减现象。
