java 推荐算法

pom.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+	xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
+	<modelVersion>4.0.0</modelVersion>
+	<parent>
+		<groupId>org.springframework.boot</groupId>
+		<artifactId>spring-boot-starter-parent</artifactId>
+		<version>2.3.2.RELEASE</version>
+		<relativePath/> <!-- lookup parent from repository -->
+	</parent>
+	<groupId>com.tarzan</groupId>
+	<artifactId>recommend</artifactId>
+	<version>0.0.1-SNAPSHOT</version>
+	<name>recommend_system</name>
+	<description>Demo project for Spring Boot</description>
+
+	<properties>
+		<java.version>1.8</java.version>
+	</properties>
+
+	<dependencies>
+		<dependency>
+			<groupId>org.springframework.boot</groupId>
+			<artifactId>spring-boot-starter</artifactId>
+		</dependency>
+
+		<dependency>
+			<groupId>org.projectlombok</groupId>
+			<artifactId>lombok</artifactId>
+			<optional>true</optional>
+		</dependency>
+		<dependency>
+			<groupId>org.springframework.boot</groupId>
+			<artifactId>spring-boot-starter-test</artifactId>
+			<scope>test</scope>
+			<exclusions>
+				<exclusion>
+					<groupId>org.junit.vintage</groupId>
+					<artifactId>junit-vintage-engine</artifactId>
+				</exclusion>
+			</exclusions>
+		</dependency>
+		<dependency>
+			<groupId>org.assertj</groupId>
+			<artifactId>assertj-core</artifactId>
+			<version>3.16.1</version>
+			<scope>compile</scope>
+		</dependency>
+	</dependencies>
+
+	<build>
+		<plugins>
+			<plugin>
+				<groupId>org.springframework.boot</groupId>
+				<artifactId>spring-boot-maven-plugin</artifactId>
+			</plugin>
+		</plugins>
+	</build>
+
+</project>

src/main/java/com/tarzan/recommend/RecommendSystemApplication.java

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+package com.tarzan.recommend;
+
+import org.springframework.boot.SpringApplication;
+import org.springframework.boot.autoconfigure.SpringBootApplication;
+
+@SpringBootApplication
+public class RecommendSystemApplication {
+
+	public static void main(String[] args) {
+		SpringApplication.run(RecommendSystemApplication.class, args);
+	}
+
+}

src/main/java/com/tarzan/recommend/Service/FileDataSource.java

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+package com.tarzan.recommend.Service;
+
+import com.tarzan.recommend.dto.ItemDTO;
+import com.tarzan.recommend.dto.RelateDTO;
+import com.tarzan.recommend.dto.UserDTO;
+import lombok.Data;
+import lombok.extern.slf4j.Slf4j;
+import org.assertj.core.util.Lists;
+import org.springframework.util.ResourceUtils;
+
+import java.io.*;
+import java.nio.charset.StandardCharsets;
+import java.util.List;
+
+@Data
+@Slf4j
+public class FileDataSource {
+
+
+      public final static String folderPath="F:\\ml-100k";
+
+
+    /**
+     * 方法描述: 读取基础数据
+     *
+     * @param
+     * @Return {@link List< RelateDTO>}
+     * @throws
+     * @author tarzan
+     * @date 2020年07月31日 16:53:40
+     */
+    public static List<RelateDTO> getData() {
+        List<RelateDTO> relateList = Lists.newArrayList();
+        try {
+            FileInputStream out = new FileInputStream(folderPath+"\\u.data");
+            InputStreamReader reader = new InputStreamReader(out, StandardCharsets.UTF_8);
+            BufferedReader in = new BufferedReader(reader);
+            String line = null;
+            while ((line = in.readLine()) != null) {
+                String newline = line.replaceAll("[\t]", " ");
+                String[] ht = newline.split(" ");
+                Integer userId = Integer.parseInt(ht[0]);
+                Integer movieId = Integer.parseInt(ht[1]);
+                Integer rating = Integer.parseInt(ht[2]);
+                RelateDTO dto = new RelateDTO(userId, movieId, rating);
+                relateList.add(dto);
+            }
+        } catch (IOException e) {
+            log.error(e.getMessage());
+        }
+        return relateList;
+    }
+
+    /**
+     * 方法描述: 读取用户数据
+     *
+     * @param
+     * @Return {@link List< UserDTO>}
+     * @throws
+     * @author tarzan
+     * @date 2020年07月31日 16:54:51
+     */
+    public static List<UserDTO> getUserData() {
+        List<UserDTO> userList = Lists.newArrayList();
+        try {
+            FileInputStream out = new FileInputStream(folderPath+"\\u.user");
+            InputStreamReader reader = new InputStreamReader(out, StandardCharsets.UTF_8);
+            BufferedReader in = new BufferedReader(reader);
+            String line = null;
+            while ((line = in.readLine()) != null) {
+                String newline = line.replaceAll("[\t]", " ");
+                String[] ht = newline.split("\\|");
+                Integer id = Integer.parseInt(ht[0]);
+                Integer age = Integer.parseInt(ht[1]);
+                String sex = ht[2];
+                String profession = ht[3];
+                String postcode = ht[4];
+                UserDTO dto = new UserDTO(id, age, sex, profession, postcode);
+                userList.add(dto);
+            }
+        } catch (IOException e) {
+            log.error(e.getMessage());
+        }
+        return userList;
+    }
+
+
+    /**
+     * 方法描述: 读取电影数据
+     *
+     * @param
+     * @Return {@link List< ItemDTO>}
+     * @throws
+     * @author tarzan
+     * @date 2020年07月31日 16:54:22
+     */
+    public static List<ItemDTO> getItemData() {
+        List<ItemDTO> itemList = Lists.newArrayList();
+        try {
+            FileInputStream out = new FileInputStream(folderPath+"\\u.item");
+            InputStreamReader reader = new InputStreamReader(out, StandardCharsets.UTF_8);
+            BufferedReader in = new BufferedReader(reader);
+            String line = null;
+            while ((line = in.readLine()) != null) {
+                String newline = line.replaceAll("[\t]", " ");
+                String[] ht = newline.split("\\|");
+                Integer id = Integer.parseInt(ht[0]);
+                String name = ht[1];
+                String date = ht[2];
+                String link = ht[3];
+                ItemDTO dto = new ItemDTO(id, name, date, link);
+                itemList.add(dto);
+            }
+        } catch (IOException e) {
+            log.error(e.getMessage());
+        }
+        return itemList;
+    }
+
+
+}
+

src/main/java/com/tarzan/recommend/Service/Recommend.java

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+package com.tarzan.recommend.Service;
+
+import com.tarzan.recommend.core.CoreMath;
+import com.tarzan.recommend.dto.ItemDTO;
+import com.tarzan.recommend.dto.RelateDTO;
+
+import java.util.List;
+import java.util.stream.Collectors;
+
+/**
+ * 推荐服务
+ *
+ * @author liu yapeng
+ * @version 1.0
+ * @copyright (c) 2019 LuoYang TuLian Co'Ltd Inc. All rights reserved.
+ * @date 2020/7/31$ 16:18$
+ * @since JDK1.8
+ */
+public class Recommend{
+
+
+    /**
+     * 方法描述: 猜你喜欢
+     *
+     * @param
+     * @Return {@link List< ItemDTO>}
+     * @throws
+     * @author tarzan
+     * @date 2020年07月31日 17:28:06
+     */
+    public static List<ItemDTO>  guessYouLike(){
+        CoreMath coreMath = new CoreMath();
+        List<RelateDTO> data= FileDataSource.getData();
+        List<Integer> recommendations = coreMath.recommend(2, data);
+        List<ItemDTO> itemList= FileDataSource.getItemData().stream().filter(e->recommendations.contains(e.getId())).collect(Collectors.toList());
+        return itemList;
+    }
+
+    public static void main(String[] args) {
+        List<ItemDTO> itemList= Recommend.guessYouLike();
+        System.out.println("------猜你可能喜欢---------------下列电影="+itemList.stream().map(e->e.getName()).collect(Collectors.toList()));
+    }
+
+}

src/main/java/com/tarzan/recommend/core/CoreMath.java

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+package com.tarzan.recommend.core;
+
+import com.tarzan.recommend.dto.RelateDTO;
+import org.assertj.core.util.Lists;
+
+import java.util.*;
+import java.util.stream.Collectors;
+import java.util.stream.IntStream;
+
+/**
+ * 核心算法
+ *
+ * @author tarzan
+ * @version 1.0
+ * @company 洛阳图联科技有限公司
+ * @copyright (c) 2019 LuoYang TuLian Co'Ltd Inc. All rights reserved.
+ * @date 2020/7/31$ 15:21$
+ * @since JDK1.8
+ */
+public class CoreMath {
+
+    public List<Integer> recommend(Integer userId, List<RelateDTO> list) {
+        //找到最近邻用户id
+        Map<Double, Integer> distances = computeNearestNeighbor(userId, list);
+        Integer nearest = distances.values().iterator().next();
+
+        Map<Integer, List<RelateDTO>>  userMap=list.stream().collect(Collectors.groupingBy(RelateDTO::getUseId));
+
+        //最近邻用户看过电影列表
+        List<Integer>  neighborItemList = userMap.get(nearest).stream().map(e->e.getModuleId()).collect(Collectors.toList());
+        //指定用户看过电影列表
+        List<Integer>  userItemList  = userMap.get(userId).stream().map(e->e.getModuleId()).collect(Collectors.toList());;
+
+        //找到最近邻看过，但是该用户没看过的电影，计算推荐，放入推荐列表
+        List<Integer> recommendList = new ArrayList<>();
+        for (Integer item : neighborItemList) {
+            if (!userItemList.contains(item)) {
+                recommendList.add(item);
+            }
+        }
+        Collections.sort(recommendList);
+        return recommendList;
+    }
+
+
+    /**
+     * 在给定userId的情况下，计算其他用户和它的相关系数并排序
+     * @param userId
+     * @param list
+     * @return
+     */
+    private Map<Double, Integer> computeNearestNeighbor(Integer userId, List<RelateDTO> list) {
+        Map<Integer, List<RelateDTO>>  userMap=list.stream().collect(Collectors.groupingBy(RelateDTO::getUseId));
+        Map<Double, Integer> distances = new TreeMap<>();
+        userMap.forEach((k,v)->{
+            if(k!=userId){
+                double distance = pearson_dis(v,userMap.get(userId));
+                distances.put(distance, k);
+            }
+        });
+        return distances;
+    }
+
+
+    /**
+     * 计算两个序列间的相关系数
+     *
+     * @param xList
+     * @param yList
+     * @return
+     */
+    private double pearson_dis(List<RelateDTO> xList, List<RelateDTO> yList) {
+        List<Integer> xs= Lists.newArrayList();
+        List<Integer> ys= Lists.newArrayList();
+        xList.forEach(x->{
+            yList.forEach(y->{
+                if(x.getModuleId()==y.getModuleId()){
+                    xs.add(x.getIndex());
+                    ys.add(y.getIndex());
+                }
+            });
+        });
+        return getRelate(xs,ys);
+    }
+
+    /**
+     * 方法描述: 皮尔森（pearson）相关系数计算
+     *
+     * @param xs
+     * @param ys 
+     * @Return {@link Double}
+     * @throws 
+     * @author tarzan
+     * @date 2020年07月31日 17:03:20
+     */
+    public static Double getRelate(List<Integer> xs, List<Integer>  ys){
+        int n=xs.size();
+        double Ex= xs.stream().mapToDouble(x->x).sum();
+        double Ey=ys.stream().mapToDouble(y->y).sum();
+        double Ex2=xs.stream().mapToDouble(x->Math.pow(x,2)).sum();
+        double Ey2=ys.stream().mapToDouble(y->Math.pow(y,2)).sum();
+        double Exy= IntStream.range(0,n).mapToDouble(i->xs.get(i)*ys.get(i)).sum();
+        double numerator=Exy-Ex*Ey/n;
+        double denominator=Math.sqrt((Ex2-Math.pow(Ex,2)/n)*(Ey2-Math.pow(Ey,2)/n));
+        if (denominator==0) return 0.0;
+        return numerator/denominator;
+    }
+
+}

src/main/java/com/tarzan/recommend/dto/ItemDTO.java

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+package com.tarzan.recommend.dto;
+
+import lombok.AllArgsConstructor;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+/**
+ * 业务项
+ *
+ * @author liu yapeng
+ * @version 1.0
+ * @company 洛阳图联科技有限公司
+ * @copyright (c) 2019 LuoYang TuLian Co'Ltd Inc. All rights reserved.
+ * @date 2020/7/31$ 15:02$
+ * @since JDK1.8
+ */
+@Data
+@NoArgsConstructor
+@AllArgsConstructor
+public class ItemDTO {
+    private Integer id;
+    private String name;
+    private String date;
+    private String link;
+
+}

src/main/java/com/tarzan/recommend/dto/RelateDTO.java

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+package com.tarzan.recommend.dto;
+
+import lombok.AllArgsConstructor;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+/**
+ * 关系数据
+ *
+ * @author liu yapeng
+ * @version 1.0
+ * @company 洛阳图联科技有限公司
+ * @copyright (c) 2019 LuoYang TuLian Co'Ltd Inc. All rights reserved.
+ * @date 2020/7/31$ 14:51$
+ * @since JDK1.8
+ */
+@Data
+@AllArgsConstructor
+@NoArgsConstructor
+public class RelateDTO {
+    //用户id
+    private Integer useId;
+    //业务id
+    private Integer moduleId;
+    //指数
+    private Integer index;
+
+
+}

src/main/java/com/tarzan/recommend/dto/UserDTO.java

@@ -0,0 +1,32 @@
+package com.tarzan.recommend.dto;
+
+import lombok.AllArgsConstructor;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+/**
+ * 用户对象
+ *
+ * @author liu yapeng
+ * @version 1.0
+ * @company 洛阳图联科技有限公司
+ * @copyright (c) 2019 LuoYang TuLian Co'Ltd Inc. All rights reserved.
+ * @date 2020/7/31$ 14:55$
+ * @since JDK1.8
+ */
+@Data
+@AllArgsConstructor
+@NoArgsConstructor
+public class UserDTO {
+    //主键
+    private Integer id;
+    //年纪
+    private Integer age;
+    //性别
+    private String sex;
+    //职业
+    private String profession;
+    //邮编
+    private String postcode;
+
+}

src/main/resources/application.properties

@@ -0,0 +1 @@
+

src/main/resources/ml-100k/u.genre

@@ -0,0 +1,20 @@
+unknown|0
+Action|1
+Adventure|2
+Animation|3
+Children's|4
+Comedy|5
+Crime|6
+Documentary|7
+Drama|8
+Fantasy|9
+Film-Noir|10
+Horror|11
+Musical|12
+Mystery|13
+Romance|14
+Sci-Fi|15
+Thriller|16
+War|17
+Western|18
+

src/main/resources/ml-100k/u.user

@@ -0,0 +1,943 @@
+1|24|M|technician|85711
+2|53|F|other|94043
+3|23|M|writer|32067
+4|24|M|technician|43537
+5|33|F|other|15213
+6|42|M|executive|98101
+7|57|M|administrator|91344
+8|36|M|administrator|05201
+9|29|M|student|01002
+10|53|M|lawyer|90703
+11|39|F|other|30329
+12|28|F|other|06405
+13|47|M|educator|29206
+14|45|M|scientist|55106
+15|49|F|educator|97301
+16|21|M|entertainment|10309
+17|30|M|programmer|06355
+18|35|F|other|37212
+19|40|M|librarian|02138
+20|42|F|homemaker|95660
+21|26|M|writer|30068
+22|25|M|writer|40206
+23|30|F|artist|48197
+24|21|F|artist|94533
+25|39|M|engineer|55107
+26|49|M|engineer|21044
+27|40|F|librarian|30030
+28|32|M|writer|55369
+29|41|M|programmer|94043
+30|7|M|student|55436
+31|24|M|artist|10003
+32|28|F|student|78741
+33|23|M|student|27510
+34|38|F|administrator|42141
+35|20|F|homemaker|42459
+36|19|F|student|93117
+37|23|M|student|55105
+38|28|F|other|54467
+39|41|M|entertainment|01040
+40|38|M|scientist|27514
+41|33|M|engineer|80525
+42|30|M|administrator|17870
+43|29|F|librarian|20854
+44|26|M|technician|46260
+45|29|M|programmer|50233
+46|27|F|marketing|46538
+47|53|M|marketing|07102
+48|45|M|administrator|12550
+49|23|F|student|76111
+50|21|M|writer|52245
+51|28|M|educator|16509
+52|18|F|student|55105
+53|26|M|programmer|55414
+54|22|M|executive|66315
+55|37|M|programmer|01331
+56|25|M|librarian|46260
+57|16|M|none|84010
+58|27|M|programmer|52246
+59|49|M|educator|08403
+60|50|M|healthcare|06472
+61|36|M|engineer|30040
+62|27|F|administrator|97214
+63|31|M|marketing|75240
+64|32|M|educator|43202
+65|51|F|educator|48118
+66|23|M|student|80521
+67|17|M|student|60402
+68|19|M|student|22904
+69|24|M|engineer|55337
+70|27|M|engineer|60067
+71|39|M|scientist|98034
+72|48|F|administrator|73034
+73|24|M|student|41850
+74|39|M|scientist|T8H1N
+75|24|M|entertainment|08816
+76|20|M|student|02215
+77|30|M|technician|29379
+78|26|M|administrator|61801
+79|39|F|administrator|03755
+80|34|F|administrator|52241
+81|21|M|student|21218
+82|50|M|programmer|22902
+83|40|M|other|44133
+84|32|M|executive|55369
+85|51|M|educator|20003
+86|26|M|administrator|46005
+87|47|M|administrator|89503
+88|49|F|librarian|11701
+89|43|F|administrator|68106
+90|60|M|educator|78155
+91|55|M|marketing|01913
+92|32|M|entertainment|80525
+93|48|M|executive|23112
+94|26|M|student|71457
+95|31|M|administrator|10707
+96|25|F|artist|75206
+97|43|M|artist|98006
+98|49|F|executive|90291
+99|20|M|student|63129
+100|36|M|executive|90254
+101|15|M|student|05146
+102|38|M|programmer|30220
+103|26|M|student|55108
+104|27|M|student|55108
+105|24|M|engineer|94043
+106|61|M|retired|55125
+107|39|M|scientist|60466
+108|44|M|educator|63130
+109|29|M|other|55423
+110|19|M|student|77840
+111|57|M|engineer|90630
+112|30|M|salesman|60613
+113|47|M|executive|95032
+114|27|M|programmer|75013
+115|31|M|engineer|17110
+116|40|M|healthcare|97232
+117|20|M|student|16125
+118|21|M|administrator|90210
+119|32|M|programmer|67401
+120|47|F|other|06260
+121|54|M|librarian|99603
+122|32|F|writer|22206
+123|48|F|artist|20008
+124|34|M|student|60615
+125|30|M|lawyer|22202
+126|28|F|lawyer|20015
+127|33|M|none|73439
+128|24|F|marketing|20009
+129|36|F|marketing|07039
+130|20|M|none|60115
+131|59|F|administrator|15237
+132|24|M|other|94612
+133|53|M|engineer|78602
+134|31|M|programmer|80236
+135|23|M|student|38401
+136|51|M|other|97365
+137|50|M|educator|84408
+138|46|M|doctor|53211
+139|20|M|student|08904
+140|30|F|student|32250
+141|49|M|programmer|36117
+142|13|M|other|48118
+143|42|M|technician|08832
+144|53|M|programmer|20910
+145|31|M|entertainment|V3N4P
+146|45|M|artist|83814
+147|40|F|librarian|02143
+148|33|M|engineer|97006
+149|35|F|marketing|17325
+150|20|F|artist|02139
+151|38|F|administrator|48103
+152|33|F|educator|68767
+153|25|M|student|60641
+154|25|M|student|53703
+155|32|F|other|11217
+156|25|M|educator|08360
+157|57|M|engineer|70808
+158|50|M|educator|27606
+159|23|F|student|55346
+160|27|M|programmer|66215
+161|50|M|lawyer|55104
+162|25|M|artist|15610
+163|49|M|administrator|97212
+164|47|M|healthcare|80123
+165|20|F|other|53715
+166|47|M|educator|55113
+167|37|M|other|L9G2B
+168|48|M|other|80127
+169|52|F|other|53705
+170|53|F|healthcare|30067
+171|48|F|educator|78750
+172|55|M|marketing|22207
+173|56|M|other|22306
+174|30|F|administrator|52302
+175|26|F|scientist|21911
+176|28|M|scientist|07030
+177|20|M|programmer|19104
+178|26|M|other|49512
+179|15|M|entertainment|20755
+180|22|F|administrator|60202
+181|26|M|executive|21218
+182|36|M|programmer|33884
+183|33|M|scientist|27708
+184|37|M|librarian|76013
+185|53|F|librarian|97403
+186|39|F|executive|00000
+187|26|M|educator|16801
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src/test/java/com/tarzan/recommend/RecommendSystemApplicationTests.java

@@ -0,0 +1,13 @@
+package com.tarzan.recommend;
+
+import org.junit.jupiter.api.Test;
+import org.springframework.boot.test.context.SpringBootTest;
+
+@SpringBootTest
+class RecommendSystemApplicationTests {
+
+	@Test
+	void contextLoads() {
+	}
+
+}