How to use PHP to develop a simple product recommendation function

How to use PHP to develop a simple product recommendation function?

With the development of the Internet and the popularity of e-commerce platforms, product recommendation has become an important function of major e-commerce platforms. Through reasonable product recommendations, users can improve their purchase conversion rate and increase sales. This article will introduce how to use PHP to develop a simple product recommendation function and provide specific code examples.

1. Data preparation
   First, we need to prepare some product data. You can use a database to store product information and create a table named "products" to store product data. The table should at least contain fields such as product ID, product name, and product description. We can manually insert some test data for subsequent development.
2. Get user information
   In order to make personalized product recommendations, we need to obtain some basic information of the user. User information can be obtained through login, registration and other operations, and saved to the "user" table in the database. It should contain at least user ID, user name, gender, age and other fields.
3. Product recommendation logic
   The logic of product recommendation can vary according to different needs. This article takes the collaborative filtering algorithm as an example to introduce a simple implementation of product recommendation.

The collaborative filtering algorithm is a recommendation algorithm based on user behavior. It recommends products that the user may be interested in by analyzing the similarities between users.

The specific implementation steps are as follows:
(1) Obtain the user's basic information based on the user ID.
(2) According to the user ID, obtain the product information that the user has purchased from the "products" table.
(3) Based on the user's purchase record, find the products that other users have purchased in the "products" table.
(4) Count the products purchased by other users and arrange them in descending order according to the number of purchases.
(5) Filter out the products that the user has purchased from the top products.
(6) Recommend filtered products to users.

Code example:

<?php
// 获取用户ID
$userId = $_SESSION['user_id'];

// 查询用户基本信息
$userInfo = mysqli_query($conn, "SELECT * FROM user WHERE user_id = $userId");
$user = mysqli_fetch_assoc($userInfo);

// 查询用户已购买的商品ID
$purchaseInfo = mysqli_query($conn, "SELECT product_id FROM purchases WHERE user_id = $userId");
$purchases = [];
while ($row = mysqli_fetch_assoc($purchaseInfo)) {
    $purchases[] = $row['product_id'];
}

// 根据购买记录查询其他用户购买过的商品，并按购买次数降序排列
$query = "SELECT product_id, COUNT(*) AS purchase_count 
          FROM purchases WHERE user_id != $userId 
          AND product_id NOT IN (" . implode(',', $purchases) . ") 
          GROUP BY product_id 
          ORDER BY purchase_count DESC";
$result = mysqli_query($conn, $query);

// 获取排名前几的商品作为推荐结果
$recommendedProducts = [];
while ($row = mysqli_fetch_assoc($result)) {
    $recommendedProducts[] = $row['product_id'];
}

// 输出推荐结果
foreach ($recommendedProducts as $productId) {
    $productInfo = mysqli_query($conn, "SELECT * FROM products WHERE product_id = $productId");
    $product = mysqli_fetch_assoc($productInfo);
    echo $product['product_name'];
    echo $product['product_description'];
    // 可以展示更多商品信息
}
?>

4. Conclusion
   This article introduces how to use PHP to develop a simple product recommendation function, and provides a recommendation implementation method based on the collaborative filtering algorithm. Of course, in actual development, appropriate adjustments and optimizations need to be made according to specific business needs. I hope this article can be helpful to everyone when developing product recommendation functions!

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