diff --git a/flower_back/src/main/java/com/example/flower/service/FlowerService.java b/flower_back/src/main/java/com/example/flower/service/FlowerService.java
new file mode 100644
index 0000000..a67545b
--- /dev/null
+++ b/flower_back/src/main/java/com/example/flower/service/FlowerService.java
@@ -0,0 +1,149 @@
+package com.example.flower.service;
+
+import cn.hutool.core.collection.CollectionUtil;
+import com.example.flower.entity.*;
+import com.example.flower.mapper.*;
+import com.example.flower.service.impl.FlowerServiceImpl;
+import com.github.pagehelper.PageHelper;
+import com.github.pagehelper.PageInfo;
+import jakarta.annotation.Resource;
+import org.springframework.stereotype.Service;
+import com.example.flower.unit.UserCF;
+
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Optional;
+import java.util.Random;
+import java.util.stream.Collectors;
+
+@Service
+public class FlowerService implements FlowerServiceImpl {
+    @Resource
+    private FlowerMapper flowerMapper;
+    @Resource
+    private CartMapper cartMapper;
+    @Resource
+    private OrderMapper orderMapper;
+    @Resource
+    private UserMapper userMapper;
+    @Resource
+    private CommentMapper commentMapper;
+
+    @Override
+    public PageInfo<Flower> flowerList(int page, int page_size) {
+        PageHelper.startPage(page,page_size);
+        return new PageInfo<>(flowerMapper.flowerList());
+    }
+    @Override
+    public PageInfo<Flower> flowerListByQuery(int page,int page_size,String flower_name){
+        PageHelper.startPage(page,page_size);
+        return new PageInfo<>(flowerMapper.flowerListByQuery(flower_name));
+    }
+    @Override
+    public void flowerAdd(Flower flower){
+        flowerMapper.flowerAdd(flower);
+    }
+    @Override
+    public int flowerDeletePer(int flower_id){
+        return flowerMapper.flowerDeletePer(flower_id);
+    }
+    @Override
+    public int flowerDeleteMul(int[] flower_ids){
+        return flowerMapper.flowerDeleteMul(flower_ids);
+    }
+    @Override
+    public Flower flowerInfo(int flower_id){
+        return flowerMapper.flowerInfo(flower_id);
+    }
+    @Override
+    public int flowerModify(Flower flower){
+        return flowerMapper.flowerModify(flower);
+    }
+    //前台
+    @Override
+    public List<Flower> flowerRecommend(int class_id){
+        return flowerMapper.flowerRecommend(class_id);
+    }
+    @Override
+    public int flowerAddNum(int flower_id,int flower_sale){
+        return flowerMapper.flowerAddNum(flower_id,flower_sale);
+    }
+
+    //猜你喜欢
+    @Override
+    public List<Flower> recommend(int user_id) {
+        // 用户的哪些行为可以认为他跟商品产生了关系？加入购物车、下单、评论
+        // 1. 获取所有的购物车信息
+        List<Cart> allCarts = cartMapper.findAllCart();
+        // 2. 获取所有的订单信息
+        List<RecommendUtil> allOrders = orderMapper.findAllFlowerOrder();
+        // 3. 获取所有的评论信息
+        List<Comment> allComments = commentMapper.findAllComment();
+        // 4. 获取所有的用户信息
+        List<User> allUsers = userMapper.userList();
+        // 5. 获取所有的商品信息
+        List<Flower> allFlower = flowerMapper.flowerList();
+
+        // 定义一个存储每个商品和每个用户关系的List
+        List<RelateDTO> data = new ArrayList<>();
+        // 定义一个存储最后返回给前端的商品List
+        List<Flower> result;
+
+        // 开始计算每个商品和每个用户之间的关系数据
+        for (Flower flower : allFlower) {
+            Integer flowerId = flower.getFlower_id();
+            for (User user : allUsers) {
+                int userId = user.getUser_id();
+                int index = 1;
+                // 1. 判断该用户有没有给该商品加入购物车，加入购物车的权重给 2
+                Optional<Cart> cartOptional = allCarts.stream().filter(x -> x.getFlower_id()==flowerId && x.getUser_id()==userId).findFirst();
+                if (cartOptional.isPresent()) {
+                    index += 2;
+                }
+                // 2. 判断该用户有没有对该商品下过单（已完成的订单），订单的权重给 3
+                Optional<RecommendUtil> ordersOptional = allOrders.stream().filter(x -> x.getFlower_id()==flowerId && x.getUser_id()==userId).findFirst();
+                if (ordersOptional.isPresent()) {
+                    index += 3;
+                }
+                // 3. 判断该用户有没有对该商品评论过，评论的权重给 1
+                Optional<Comment> commentOptional = allComments.stream().filter(x -> x.getFlower_id()==flowerId && x.getUser_id()==userId).findFirst();
+                if (commentOptional.isPresent()) {
+                    index += 1;
+                }
+                if (index > 1) {
+                    RelateDTO relateDTO = new RelateDTO(userId, flowerId, index);
+                    data.add(relateDTO);
+                }
+            }
+        }
+
+        // 数据准备结束后，就把这些数据一起给这个推荐算法
+        List<Integer> flowerIds = UserCF.recommend(user_id, data);
+        // 把商品id转换成商品
+        result = flowerIds.stream().map(flowerId -> allFlower.stream()
+                        .filter(x -> x.getFlower_id()==flowerId).findFirst().orElse(null))
+                .limit(6).collect(Collectors.toList());
+
+                if (CollectionUtil.isEmpty(result)) {
+                    // 随机给它推荐10个
+                    return getRandomFlower(6);
+                }
+                if (result.size() < 6) {
+                    int num = 6 - result.size();
+                    List<Flower> list = getRandomFlower(num);
+                    result.addAll(list);
+                }
+        return result;
+    }
+
+    private List<Flower> getRandomFlower(int num) {
+        List<Flower> list = new ArrayList<>(num);
+        List<Flower> flower = flowerMapper.flowerList();
+        for (int i = 0; i < num; i++) {
+            int index = new Random().nextInt(flower.size());
+            list.add(flower.get(index));
+        }
+        return list;
+    }
+
+}