PHP user interest recommendation and personalized service in small program development

PHP User Interest Recommendation and Personalized Services in Mini Program Development

With the rapid development of the mobile Internet, mini programs have become an indispensable part of people's lives. As a lightweight application, mini programs not only have the advantages of being easy to install and taking up less space, but also can respond quickly to user needs. In order to better meet users' personalized needs, mini program developers usually need to recommend relevant content based on users' interests and provide personalized services. As a server-side scripting language widely used in Web development, PHP can help developers implement user interest recommendations and personalized services.

1. User interest recommendation

1. Acquisition of user interest tags

In mini program development, we can judge the user’s interests through user behavior data interest. For example, the user's browsing records and click records can be counted, or the user's interest tags can be obtained based on the user's purchase records. PHP can obtain user behavior data through databases such as MySQL and process it accordingly.

The following is a simple sample code for obtaining user browsing records and generating interest tags:

<?php
// 连接MySQL数据库
$conn = mysqli_connect("localhost", "username", "password", "database");

// 获取用户ID
$user_id = $_GET['user_id'];

// 查询用户浏览记录
$query = "SELECT * FROM browsing_history WHERE user_id = '$user_id'";
$result = mysqli_query($conn, $query);

// 初始化兴趣标签数组
$interests = array();

// 遍历结果集
while ($row = mysqli_fetch_assoc($result)) {
    // 获取每条浏览记录的兴趣标签
    $interest = $row['interest'];
    
    // 将兴趣标签加入数组
    array_push($interests, $interest);
}

// 统计兴趣标签出现的次数
$interest_count = array_count_values($interests);

// 按照次数降序排序
arsort($interest_count);

// 输出兴趣标签
foreach ($interest_count as $interest => $count) {
    echo $interest . ": " . $count . "<br>";
}

// 关闭数据库连接
mysqli_close($conn);
?>

2. Implementation of interest recommendation algorithm

According to For the user's interest tags, we can implement the interest recommendation algorithm through PHP. Common recommendation algorithms include content-based recommendation algorithms, collaborative filtering recommendation algorithms, etc. Depending on the algorithm, we can use different PHP functions to implement it.

The following is a sample code for a content-based recommendation algorithm:

<?php
// 基于内容的推荐算法
function content_based_recommendation($user_id, $interests) {
    // 根据兴趣标签查询相似内容
    // ...

    // 返回推荐结果
    return $recommendations;
}

// 调用推荐算法
$user_id = $_GET['user_id'];
$recommendations = content_based_recommendation($user_id, $interests);

// 输出推荐结果
foreach ($recommendations as $recommendation) {
    echo $recommendation . "<br>";
}
?>

2. Personalized service

1. Acquisition of user information

In mini program development, user information generally includes the user's basic information, interests and preferences, region, etc. Through user information, we can provide users with personalized services. PHP can obtain user information through the API interface of the mini program and process it accordingly.

The following is a sample code for obtaining basic user information and providing personalized services:

<?php
// 获取用户基本信息
$user_id = $_GET['user_id'];
$user_info = $_GET['user_info'];

// 解析用户信息
$user_info = json_decode($user_info, true);

// 获取用户兴趣偏好
$interests = $user_info['interests'];

// 根据用户兴趣偏好进行个性化服务
// ...
?>

2. Implementation of personalized services

According to the user For personalized needs, we can implement corresponding personalized services through PHP. For example, push relevant content based on the user's interests and preferences, recommend nearby services based on the user's geographical location, etc.

The following is a sample code for pushing relevant content based on the user's interests and preferences:

<?php
// 根据用户兴趣偏好查询相关内容
function get_related_content($interests) {
    // 查询相关内容
    // ...

    // 返回相关内容
    return $related_content;
}

// 调用个性化服务
$user_id = $_GET['user_id'];
$related_content = get_related_content($interests);

// 输出相关内容
foreach ($related_content as $content) {
    echo $content . "<br>";
}
?>

In summary, PHP can help developers implement user interest recommendations in small program development and personalized service. By obtaining user interest tags and personalized information, combined with corresponding algorithms and service logic, we can provide users with a more personalized mini program experience. I hope this article will help you understand the application of PHP in small program development.

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