PHP implements question association and similar question recommendation functions in knowledge Q&A websites.

PHP implements the question association and similar question recommendation functions in the knowledge Q&A website

In the knowledge Q&A website, the question association and similar question recommendation functions are very important. These features can help users find the questions they are interested in faster and provide more useful information. This article will introduce how to use PHP to implement question correlation and similar question recommendation functions.

The implementation of the question correlation function mainly relies on question labels and classifications. When a user asks a question, the user can be asked to select the corresponding label or category, thereby associating the question with the corresponding label or category. This way, the system can show these questions to other users as they browse questions in similar tags or categories. The key to realizing this function lies in the design and query of the database.

First, we need to create a question table and a tag table. The question table contains question information, such as question title, question description, question user, etc. The tag table contains tag information, such as tag name, tag description, etc. Then, we need to create a question-tag association table to record the relationship between questions and tags. This table can contain question IDs and tag IDs, each question can be associated with multiple tags, and each tag can be associated with multiple questions.

The following is a SQL example to create a question table, a tag table, and a question-tag association table:

CREATE TABLE questions (
    id INT AUTO_INCREMENT PRIMARY KEY,
    title VARCHAR(255),
    description TEXT,
    user_id INT,
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

CREATE TABLE tags (
    id INT AUTO_INCREMENT PRIMARY KEY,
    name VARCHAR(255),
    description TEXT
);

CREATE TABLE question_tag (
    id INT AUTO_INCREMENT PRIMARY KEY,
    question_id INT,
    tag_id INT,
    FOREIGN KEY(question_id) REFERENCES questions(id),
    FOREIGN KEY(tag_id) REFERENCES tags(id)
);

Next, we can use PHP and MySQL to implement the issue correlation function. When the user asks a question, we can save the question content and selected tags to the question table and question-tag association table. When other users browse questions with similar tags, we can query the IDs of related questions in the question-tag association table based on the tag ID, and obtain the detailed information of these questions in the question table.

The following is a simple example of implementing the question correlation function:

<?php
// 获取用户提问的问题内容和选择的标签
$title = $_POST['title'];
$description = $_POST['description'];
$tags = $_POST['tags'];

// 将问题内容保存到问题表
$query = "INSERT INTO questions (title, description) VALUES ('$title', '$description')";
// 执行 SQL 查询

// 获取刚刚保存的问题的 ID
$questionId = mysqli_insert_id($conn);

// 将问题和标签的关联保存到问题-标签关联表
foreach ($tags as $tagId) {
    $query = "INSERT INTO question_tag (question_id, tag_id) VALUES ($questionId, $tagId)";
    // 执行 SQL 查询
}

// 根据标签 ID 查询相关问题的 ID
$tagId = $_GET['tagId'];
$query = "SELECT question_id FROM question_tag WHERE tag_id = $tagId";
// 执行 SQL 查询

// 循环获取问题的详细信息并展示给用户
while ($row = mysqli_fetch_assoc($result)) {
    $questionId = $row['question_id'];
    $query = "SELECT * FROM questions WHERE id = $questionId";
    // 执行 SQL 查询
    // 单个问题的展示逻辑
}
?>

The implementation of the similar question recommendation function relies on the calculation of similarity between questions. This calculation can be determined based on the intersection between the title, description, and tags of the question. We can define a similarity threshold. When the similarity of two problems exceeds this threshold, we consider the two problems to be similar.

The following is a simple implementation example of the similar question recommendation function:

<?php
// 获取当前问题的标签
$tags = $_GET['tags'];

// 根据标签查询相关问题的 ID
$query = "SELECT question_id FROM question_tag WHERE tag_id IN (". implode(',', $tags) .")";
// 执行 SQL 查询

// 循环获取问题的详细信息并计算相似度
while ($row = mysqli_fetch_assoc($result)) {
    $questionId = $row['question_id'];
    $query = "SELECT * FROM questions WHERE id = $questionId";
    // 执行 SQL 查询
    // 判断相似度并推荐给用户
}
?>

Through the above sample code, we can implement the question association and similar question recommendation functions in the knowledge question and answer website. When a user asks a question, the system will automatically associate the question with the corresponding tag and make recommendations when browsing questions with similar tags. In this way, users can more easily find the issues they are interested in and obtain more useful information.

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