PHP 플래시 세일 시스템의 사용자 행동 분석 및 추천 알고리즘 최적화 방법

// 记录用户秒杀行为
function recordUserAction($userId, $itemId) {
    // 连接数据库
    $conn = new mysqli("localhost", "username", "password", "database_name");
    if ($conn->connect_error) {
        die("数据库连接失败：" . $conn->connect_error);
    }
  
    // 记录用户行为
    $sql = "INSERT INTO user_action (user_id, item_id, action_time) VALUES ($userId, $itemId, NOW())";
    if ($conn->query($sql) === TRUE) {
        echo "用户行为记录成功";
    } else {
        echo "用户行为记录失败：" . $conn->error;
    }
  
    // 关闭数据库连接
    $conn->close();
}

// 根据用户ID获取用户行为记录
function getUserActions($userId) {
    // 连接数据库
    $conn = new mysqli("localhost", "username", "password", "database_name");
    if ($conn->connect_error) {
        die("数据库连接失败：" . $conn->connect_error);
    }
  
    // 查询用户行为记录
    $sql = "SELECT * FROM user_action WHERE user_id = $userId";
    $result = $conn->query($sql);
  
    if ($result->num_rows > 0) {
        // 输出每条行为记录
        while($row = $result->fetch_assoc()) {
            echo "行为ID：" . $row["action_id"]. " 用户ID：" . $row["user_id"]. " 商品ID：" . $row["item_id"]. "<br>";
        }
    } else {
        echo "没有找到用户的行为记录";
    }
  
    // 关闭数据库连接
    $conn->close();
}

// 根据用户的行为记录进行推荐
function recommendItems($userId) {
    // 连接数据库
    $conn = new mysqli("localhost", "username", "password", "database_name");
    if ($conn->connect_error) {
        die("数据库连接失败：" . $conn->connect_error);
    }
  
    // 根据用户的行为记录进行推荐
    $sql = "SELECT item_id, COUNT(*) as count FROM user_action WHERE user_id = $userId GROUP BY item_id ORDER BY count DESC LIMIT 3";
    $result = $conn->query($sql);
  
    if ($result->num_rows > 0) {
        // 输出推荐的商品
        while($row = $result->fetch_assoc()) {
            echo "推荐商品ID：" . $row["item_id"]. " 点击次数：" . $row["count"]. "<br>";
        }
    } else {
         echo "没有找到推荐的商品";
    }
  
    // 关闭数据库连接
    $conn->close();
}