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PHP User Portraits and Personalized Recommendations in Mini Program Development
With the rapid development of the mobile Internet, mini programs have become a way for more and more companies to choose to conduct business. The development of small programs is inseparable from the support of server-side languages. PHP, as a widely used language, is widely used in the development of small programs. This article will explore how to use PHP to implement user profiling and personalized recommendations in mini programs.
User portrait is a comprehensive and detailed analysis and summary of user attributes, interests, behaviors, etc., to form a user tag collection. Through user portraits, user needs can be accurately grasped to achieve personalized recommendations. In the mini program, PHP can be used as a server-side language to create user portraits based on the user's access behavior and data.
First of all, we need to collect the user’s basic information and behavioral data. These data can be obtained through interfaces, form submissions or other methods, and then statistics and storage are performed on the server side. The following is a simple sample code for obtaining user information and behavioral data:
<?php // 获取用户ID $userId = $_POST['userId']; // 获取用户基本信息 $name = $_POST['name']; $age = $_POST['age']; $gender = $_POST['gender']; // 存储用户基本信息到数据库 // ... // 获取用户行为数据 $action = $_POST['action']; $timestamp = $_POST['timestamp']; // 存储用户行为数据到数据库 // ... ?>
After collecting the user's basic information and behavioral data, we can use PHP to create user portraits. Based on different dimensions of data, we can add tags to users, such as age group, gender, interests and hobbies, etc. The following is a simple sample code for adding tags to users:
<?php // 根据用户的年龄划分不同的年龄段 if ($age < 18) { $tag = '未成年'; } elseif ($age >= 18 && $age < 30) { $tag = '青年'; } elseif ($age >= 30 && $age < 60) { $tag = '中年'; } else { $tag = '老年'; } // 根据用户的性别添加标签 if ($gender == '男') { $tag .= '男性'; } else { $tag .= '女性'; } // 存储用户标签到数据库 // ... ?>
With the above code, we can add corresponding tags to users based on their age and gender. Next, we can implement personalized recommendations based on the user's portrait information.
Personalized recommendation is to recommend personalized content to the user based on the user's portrait information, which can increase the user's stickiness and activity in the mini program. In small programs, PHP can store and manage personalized recommended content through graph databases or relational databases. The following is a simple sample code for recommending content based on the user's tags:
<?php // 根据用户标签查询推荐内容 $tag = $_POST['tag']; $sql = "SELECT * FROM products WHERE tags LIKE '%$tag%'"; // 执行查询 // ... // 获取推荐内容列表 $result = mysqli_query($conn, $sql); $recommendations = array(); while ($row = mysqli_fetch_assoc($result)) { $recommendations[] = $row; } // 返回推荐内容给小程序 echo json_encode($recommendations); ?>
With the above code, we can query the corresponding recommended content based on the user's tags and return the results to the applet.
To sum up, PHP plays an important role in user profiling and personalized recommendations in the development of small programs. By collecting and analyzing users' basic information and behavioral data, PHP is used to establish user portraits and implement personalized recommendations based on user portraits. This will improve the user experience of mini programs, increase user engagement and loyalty, thereby increasing the company's revenue and market competitiveness.
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