php实现问答
PHP 实现问答系统
数据库设计
创建数据库表存储问题和答案,表结构可设计为:
CREATE TABLE qa_pairs (
id INT AUTO_INCREMENT PRIMARY KEY,
question VARCHAR(255) NOT NULL,
answer TEXT NOT NULL,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
前端表单
HTML 表单用于提交问题:

<form method="POST" action="process_question.php">
<input type="text" name="question" placeholder="输入您的问题">
<button type="submit">提交</button>
</form>
后端处理
PHP 处理脚本示例:
<?php
// 连接数据库
$db = new PDO('mysql:host=localhost;dbname=qa_db', 'username', 'password');
// 获取用户问题
$userQuestion = $_POST['question'];
// 查询匹配答案
$stmt = $db->prepare("SELECT answer FROM qa_pairs WHERE question LIKE ?");
$stmt->execute(["%$userQuestion%"]);
$result = $stmt->fetch();
// 返回结果
if ($result) {
echo $result['answer'];
} else {
echo "未找到相关答案";
}
?>
模糊匹配优化
提高问题匹配准确度:

// 预处理问题文本
$processedQuestion = strtolower(trim($userQuestion));
$processedQuestion = preg_replace('/[^\w\s]/', '', $processedQuestion);
// 使用全文搜索改进查询
$stmt = $db->prepare("SELECT answer FROM qa_pairs
WHERE MATCH(question) AGAINST(? IN NATURAL LANGUAGE MODE)");
$stmt->execute([$processedQuestion]);
机器学习集成
使用PHP-ML库实现简单意图识别:
require __DIR__ . '/vendor/autoload.php';
use Phpml\Classification\SVC;
use Phpml\SupportVectorMachine\Kernel;
// 训练简单分类器
$samples = [['how to'], ['what is'], ['where can']];
$labels = ['instruction', 'definition', 'location'];
$classifier = new SVC(Kernel::LINEAR);
$classifier->train($samples, $labels);
API 接口
创建RESTful API端点:
header('Content-Type: application/json');
$response = ['status' => 'success', 'data' => []];
try {
$question = json_decode(file_get_contents('php://input'), true)['question'];
// 处理逻辑...
$response['data']['answer'] = $foundAnswer;
} catch (Exception $e) {
$response['status'] = 'error';
$response['message'] = $e->getMessage();
}
echo json_encode($response);






