import java.io.Serializable; import java.lang.ref.ReferenceQueue; import java.lang.ref.WeakReference; import java.math.BigDecimal; import java.math.RoundingMode;/*** 商品评价算法* * @project icomment* @fileName ProductScore.java* @Description* @author light-zhang* @date 2018年1月15日下午4:44:40* @version 1.0.0*/ public abstract class CommentUtils implements Serializable {private static final long serialVersionUID = 8143504152635422263L;/*************************** 方案一 *******************************************/private static final double baby_ratio = 0.837;// 宝贝评价计算占比(0.837/千)private static final double merchant_ratio = 0.113;// 卖家态度计算占比(0.113/千)private static final double logistics_ratio = 0.0278;// 物流评价计算占比(0.0278/万)private static final double aplatfrom_ration = 0.0037;// 平台影响分A(0.0037/万)private static final double bplatfrom_ration = 0.0185; // 平台影响分B (0.0185/万)private static final double basic_score = 4.7463;// 最高分 /**************************************************************************//*** 方案一 宝贝占比较高,防止卖假货 宝贝评价 0.837(千分比) 5 卖家态度 0.113(千分比) 4 物流服务 0.0278(万分比) 3 平台影响* 0.0037(万分比) 2 平台影响 0.0185(万分比) 1* * @return*/public static BigDecimal babyScore(int baby, int merchant, int logistics) {double value = baby * baby_ratio + (merchant - 1) * merchant_ratio + (logistics - 2) * logistics_ratio+ (2 * aplatfrom_ration) + (1 * bplatfrom_ration);final BigDecimal result = getTemp(new BigDecimal(value));if (result.doubleValue() == basic_score) {return result.setScale(0, RoundingMode.HALF_UP);}return result.setScale(1, RoundingMode.HALF_UP);}/*************************** 方案二************************************************/private static final double syn_baby_ratio = 0.35;private static final double syn_merchant_ratio = 0.25;private static final double syn_logistics_ratio = 0.35;private static final double syn_aplatfrom_ration = 0.3;private static final double syn_bplatfrom_ration = 0.2;private static final double syn_basic_score = 4.6;/**************************************************************************//*** 综合占比率 * @param baby* @param merchant* @param logistics* @return*/public static BigDecimal synthetical(int baby, int merchant, int logistics) {double value = baby * syn_baby_ratio + (merchant - 1) * syn_merchant_ratio+ (logistics - 2) * syn_logistics_ratio + 2 * syn_aplatfrom_ration + 1 * syn_bplatfrom_ration;final BigDecimal result = getTemp(new BigDecimal(value));if (result.doubleValue() == syn_basic_score) {return result.setScale(0, RoundingMode.HALF_UP);}return result.setScale(1, RoundingMode.HALF_UP);}/*** 宝贝梯度 梯度 0失望 1不满意 2一般 3满意 4惊喜 默认返回3满意* * @param avgf* @return*/public static int grads(double avgf) {return (avgf <= 1.5) ? 0: (avgf > 1.5 && avgf <= 2.3) ? 1: (avgf > 2.3 && avgf <= 3.1) ? 2: (avgf > 3.1 && avgf <= 4.0) ? 3 : (avgf > 4.0 && avgf <= 5.0) ? 4 : 3;}private static <T> T getTemp(T classOfType) {ReferenceQueue<T> queue = new ReferenceQueue<T>();WeakReference<T> weakRef = new WeakReference<T>(classOfType, queue);if (null == weakRef.get()) {weakRef = new WeakReference<T>(classOfType);}return weakRef.get();} public static void main(String[] args) {int baby = 2;int merchant = 2;int logistics = 5;System.out.println("评测1 " + babyScore(baby, merchant, logistics));// 方案一 防止卖假货采用方案System.out.println("梯度1 >>>>> " + grads(babyScore(baby, merchant, logistics).doubleValue()));System.out.println("评测2 " + synthetical(baby, merchant, logistics));// 方案二 综合商家,宝贝,物流采用方案System.out.println("梯度2 >>>>> " + grads(synthetical(baby, merchant, logistics).doubleValue()));} }
/** * 淘宝商品评价 * * @project icomment * @fileName ProductScore.java * @Description * @author light-zhang * @date 2018年1月15日下午4:44:40 * @version 1.0.0 */ public abstract class CommentUtils implements Serializable { private static final long serialVersionUID = 8143504152635422263L; private static final double BABY_MAKE_UP = 0.837;// 宝贝评价计算占比(0.837/千) private static final double SELLER_MAKE_UP = 0.113;// 卖家态度计算占比(0.113/千) private static final double LOGISTICS_MAKE_UP = 0.0278;//物流评价计算占比(0.0278/万) private static final double PLATFROM_CASHA = 0.0037;// 平台影响分A(0.0037/万) private static final double PLATFROM_CASHB = 0.0185; // 平台影响分B (0.0185/万) private staticfinal double PLATFROM_BASIC = 4.7463;// 最高分/** * 评价分计算公式 宝贝评价 0.837(千分比) 5 卖家态度 0.113(千分比) 4 物流服务 0.0278(万分比) 3 平台影响 * 0.0037(万分比) 2 平台影响 0.0185(万分比) 1 * * @param babyMark 宝贝描述 * @param sellerMark 商家态度 * @param logisticsMark 物流服务 * @return 5分×0.837＋4分×0.113＋3分×0.0278＋2分×0.0037＋1分×0.0185 ＝4.7463 */ public static BigDecimal avgProductScore(int babyMark, int sellerMark, int logisticsMark) { double value = babyMark * BABY_MAKE_UP + (sellerMark - 1) * SELLER_MAKE_UP + (logisticsMark - 2) * LOGISTICS_MAKE_UP + (2 * PLATFROM_CASHA) + (1 * PLATFROM_CASHB); final BigDecimal result = new BigDecimal(value); if (result.doubleValue() == PLATFROM_BASIC) {// 最高分 return result.setScale(0, RoundingMode.HALF_UP); } return result.setScale(1, RoundingMode.HALF_UP); } /** * 梯度 0失望 1不满意 2一般 3满意 4惊喜 默认返回3满意 * * @return */ public static int grads(double avgf) { return (avgf <= 1.5) ? 0 : (avgf > 1.5 && avgf <= 2.3) ? 1 : (avgf > 2.3 && avgf <= 3.1) ? 2 : (avgf > 3.1 && avgf <= 4.0) ? 3 : (avgf > 4.0 && avgf <= 5.0) ? 4 : 3; } public static void main(String[] args) { System.out.println(CommentUtils.avgProductScore(5, 3, 4).doubleValue()); System.out.println(CommentUtils.grads(4.5)); } }
[/** * Táobǎo shāngpǐn píngjià * * @project icomment * @fileName ProductScore.Java * @Description * @author light-zhang * @date 2018 nián 1 yuè 15 rì xiàwǔ 4:44:40 * @Version 1.0.0 */ Public abstract class CommentUtils implements Serializable { private static final long serialVersionUID = 8143504152635422263L; private static final double BABY_MAKE_UP = 0.837;// Bǎobèi píngjià jìsuàn zhàn bǐ (0.837/Qiān) private static final double SELLER_MAKE_UP = 0.113;// Màijiā tàidù jìsuàn zhàn bǐ (0.113/Qiān) private static final double LOGISTICS_MAKE_UP = 0.0278;// Wùliú píngjià jìsuàn zhàn bǐ (0.0278/Wàn) private static final double PLATFROM_CASHA = 0.0037;// Píngtái yǐngxiǎng fēn A(0.0037/Wàn) private static final double PLATFROM_CASHB = 0.0185; // Píngtái yǐngxiǎng fēn B (0.0185/Wàn) private static final double PLATFROM_BASIC = 4.7463;// Zuìgāo fēn/** * píngjià fēn jìsuàn gōngshì bǎobèi píngjià 0.837(Qiānfēnbǐ) 5 màijiā tàidù 0.113(Qiānfēnbǐ) 4 wùliú fúwù 0.0278(Wànfēn bǐ) 3 píngtái yǐngxiǎng * 0.0037(Wànfēn bǐ) 2 píngtái yǐngxiǎng 0.0185(Wànfēn bǐ) 1 * * @param babyMark bǎobèi miáoshù * @param sellerMark shāngjiā tàidù * @param logisticsMark wùliú fúwù * @return 5 fēn ×0.837+4 Fēn ×0.113+3 Fēn ×0.0278+2 Fēn ×0.0037+1 Fēn ×0.0185 =4.7463 */ Public static BigDecimal avgProductScore(int babyMark, int sellerMark, int logisticsMark) { double value = babyMark* BABY_MAKE_UP + (sellerMark - 1)* SELLER_MAKE_UP + (logisticsMark - 2)* LOGISTICS_MAKE_UP + (2* PLATFROM_CASHA) + (1* PLATFROM_CASHB); final BigDecimal result = new BigDecimal(value); if (result.DoubleValue() == PLATFROM_BASIC) {// zuìgāo fēn return result.SetScale(0, RoundingMode.HALF_UP); } return result.SetScale(1, RoundingMode.HALF_UP); } /** * tīdù 0 shīwàng 1 bù mǎnyì 2 yībān 3 mǎnyì 4 jīngxǐ mòrèn fǎnhuí 3 mǎnyì * * @return*/ public static int grads(double avgf) { return (avgf <= 1.5)? 0 : (Avgf > 1.5&& Avgf <= 2.3)? 1 : (Avgf > 2.3&& Avgf <= 3.1)? 2 : (Avgf > 3.1&& Avgf <= 4.0)? 3 : (Avgf > 4.0&& Avgf <= 5.0)? 4: 3; } Public static void main(String[] args) { System.Out.Println(CommentUtils.AvgProductScore(5, 3, 4).DoubleValue()); System.Out.Println(CommentUtils.Grads(4.5)); } }]
/**
* Taobao product evaluation
*
* @project icomment
* @fileName ProductScore.java
* @Description
* @author light-zhang
* @date January 15, 2018, 4:44:40 PM
* @version 1.0.0
*/ public abstract class CommentUtils implements Serializable {
Private static final long serialVersionUID = 8143504152635422263L;
Private static final double BABY_MAKE_UP = 0.837;// Baby evaluation calculation ratio (0.837/th) private static final double SELLER_MAKE_UP = 0.113;// Seller attitude calculation ratio (0.113/th) private static final double LOGISTICS_MAKE_UP = 0.0278;// Logistics evaluation calculation ratio (0.0278/Million) private static final double PLATFROM_CASHA = 0.0037;// Platform impact points A (0.0037/Million) private static final double PLATFROM_CASHB = 0.0185; // Platform impact points B (0.0185/Million) private static Final double PLATFROM_BASIC = 4.7463;// highest score /**
* Evaluation score calculation formula Baby evaluation 0.837 (thousands ratio) 5 Seller attitude 0.113 (thousands ratio) 4 Logistics service 0.0278 (10,000 ratio) 3 Platform impact
* 0.0037 (parts ratio) 2 Platform impact 0.0185 (10,000 ratio) 1
*
* @param babyMark baby description
* @param sellerMark Business attitude
* @param logisticsMark Logistics Services
* @return 5 points × 0.837 + 4 points × 0.113 + 3 points × 0.0278 + 2 points × 0.0037 + 1 points × 0.015 = 4.7463
*/ public static BigDecimal avgProductScore(int babyMark, int sellerMark, int logisticsMark) {
Double value = babyMark * BABY_MAKE_UP + (sellerMark - 1) * SELLER_MAKE_UP
+ (logisticsMark - 2) * LOGISTICS_MAKE_UP + (2 * PLATFROM_CASHA) + (1 * PLATFROM_CASHB);
Final BigDecimal result = new BigDecimal(value);
If (result.doubleValue() == PLATFROM_BASIC) {// highest score return result.setScale(0, RoundingMode.HALF_UP);
}
Return result.setScale(1, RoundingMode.HALF_UP);
}
/**
* Gradient 0 Disappointment 1 Dissatisfied 2 General 3 Satisfied 4 Surprise Default 3 Satisfied
*
* @return */ public static int grads(double avgf) {
Return (avgf <= 1.5) ? 0
: (avgf > 1.5 && avgf <= 2.3) ? 1
: (avgf > 2.3 && avgf <= 3.1) ? 2
: (avgf > 3.1 && avgf <= 4.0) ? 3
: (avgf > 4.0 && avgf <= 5.0) ? 4 : 3;
}
Public static void main(String[] args) {
System.out.println(CommentUtils.avgProductScore(5, 3, 4).doubleValue());
System.out.println(CommentUtils.grads(4.5));
}
}
* Taobao product evaluation
*
* @project icomment
* @fileName ProductScore.java
* @Description
* @author light-zhang
* @date January 15, 2018, 4:44:40 PM
* @version 1.0.0
*/ public abstract class CommentUtils implements Serializable {
Private static final long serialVersionUID = 8143504152635422263L;
Private static final double BABY_MAKE_UP = 0.837;// Baby evaluation calculation ratio (0.837/th) private static final double SELLER_MAKE_UP = 0.113;// Seller attitude calculation ratio (0.113/th) private static final double LOGISTICS_MAKE_UP = 0.0278;// Logistics evaluation calculation ratio (0.0278/Million) private static final double PLATFROM_CASHA = 0.0037;// Platform impact points A (0.0037/Million) private static final double PLATFROM_CASHB = 0.0185; // Platform impact points B (0.0185/Million) private static Final double PLATFROM_BASIC = 4.7463;// highest score /**
* Evaluation score calculation formula Baby evaluation 0.837 (thousands ratio) 5 Seller attitude 0.113 (thousands ratio) 4 Logistics service 0.0278 (10,000 ratio) 3 Platform impact
* 0.0037 (parts ratio) 2 Platform impact 0.0185 (10,000 ratio) 1
*
* @param babyMark baby description
* @param sellerMark Business attitude
* @param logisticsMark Logistics Services
* @return 5 points × 0.837 + 4 points × 0.113 + 3 points × 0.0278 + 2 points × 0.0037 + 1 points × 0.015 = 4.7463
*/ public static BigDecimal avgProductScore(int babyMark, int sellerMark, int logisticsMark) {
Double value = babyMark * BABY_MAKE_UP + (sellerMark - 1) * SELLER_MAKE_UP
+ (logisticsMark - 2) * LOGISTICS_MAKE_UP + (2 * PLATFROM_CASHA) + (1 * PLATFROM_CASHB);
Final BigDecimal result = new BigDecimal(value);
If (result.doubleValue() == PLATFROM_BASIC) {// highest score return result.setScale(0, RoundingMode.HALF_UP);
}
Return result.setScale(1, RoundingMode.HALF_UP);
}
/**
* Gradient 0 Disappointment 1 Dissatisfied 2 General 3 Satisfied 4 Surprise Default 3 Satisfied
*
* @return */ public static int grads(double avgf) {
Return (avgf <= 1.5) ? 0
: (avgf > 1.5 && avgf <= 2.3) ? 1
: (avgf > 2.3 && avgf <= 3.1) ? 2
: (avgf > 3.1 && avgf <= 4.0) ? 3
: (avgf > 4.0 && avgf <= 5.0) ? 4 : 3;
}
Public static void main(String[] args) {
System.out.println(CommentUtils.avgProductScore(5, 3, 4).doubleValue());
System.out.println(CommentUtils.grads(4.5));
}
}
