Use PHP and coreseek to implement intelligent music recommendation function

Use PHP and coreseek to implement intelligent music recommendation function

In recent years, intelligent technology has developed rapidly in various fields, and the music recommendation system has also become one of the important functions of the music platform. This article will introduce how to use PHP and coreseek to implement intelligent music recommendation function.

1. What is coreseek?

coreseek is an open source full-text search engine, developed based on Sphinx, providing efficient full-text search capabilities. It supports special functions such as Chinese word segmentation and similarity search, and is very suitable for large-scale text search scenarios.

2. Build the environment

First, we need to install PHP and coreseek. PHP is a popular server-side scripting language commonly used to develop web applications. Coreseek is an engine used to implement full-text search functions.

The following are the steps to install PHP and coreseek under Ubuntu system:

1. Install PHP

Open the terminal and execute the following command to install PHP:

sudo apt-get install php

2. Install coreseek

Download the latest version of the coreseek compressed package on the official website of coreseek, and then execute the following command to decompress the compressed package:

tar -xvf coreseek-3.2.0.tar.gz

Enter after decompression directory, execute the following command to compile and install:

cd coreseek-3.2.0
./configure --prefix=/usr/local/coreseek
make && make install

After the installation is completed, modify the coreseek configuration file sphinx.conf.

3. Build a music database

In this example, we take a database containing song information as an example. We assume that the database has the following table structure:

CREATE TABLE songs (
   id INT(11) UNSIGNED AUTO_INCREMENT PRIMARY KEY,
   title VARCHAR(100) NOT NULL,
   artist VARCHAR(100) NOT NULL,
   genre VARCHAR(50),
   release_date DATE,
   duration INT(11),
   rating FLOAT(2, 1)
);

We need to import these song information into coreseek's index to achieve fast full-text search.

1. Create index configuration file

First, create a file named songs.conf and write the following content:

source songs
{
    type = mysql

    sql_host = localhost
    sql_user = root
    sql_pass = password
    sql_db = music_db
    sql_port = 3306

    sql_query = SELECT id, title, artist, genre, release_date, duration, rating FROM songs
}

index songs
{
    source = songs
    path = /usr/local/coreseek/data/songs
    docinfo = extern
    mlock = 0
    morphology = stem_en

    min_infix_len = 2
    charset_type = zh_cn.utf-8
    enable_star = 1
}

searchd
{
    listen = 9306:mysql41
    log = /usr/local/coreseek/var/log/searchd.log
    query_log = /usr/local/coreseek/var/log/query.log
    read_timeout = 5
    max_children = 30
    pid_file = /usr/local/coreseek/var/log/searchd.pid
    seamless_rotate = 1
    preopen_indexes = 1
    unlink_old = 1
    workers = threads
    binlog_path =
}

Please change sql_user and sql_pass to the correct database username and password.

2. Import the database to the index

Open the terminal and execute the following command to import the database to the index:

/usr/local/coreseek/bin/indexer -c songs.conf --all

4. Implement the music recommendation function

Now, we have established the coreseek index containing music information. Next, we will write a simple music recommendation script through PHP.

1. Create the recommendation.php file and write the following code:

<?php

require('/usr/local/coreseek/api/sphinxapi.php');

// 连接到sphinx服务
$sphinx = new SphinxClient();
$sphinx->setServer('localhost', 9306);

// 设置搜索选项
$sphinx->setMatchMode(SPH_MATCH_EXTENDED2);
$sphinx->setLimits(0, 10);

// 获取搜索关键词
$keyword = $_GET['keyword'];

// 发起搜索请求
$result = $sphinx->query($keyword, 'songs');

// 处理搜索结果
if ($result === false) {
    echo "搜索失败";
} else {
    if ($result['total_found'] > 0) {
        echo "搜索结果共有 " . $result['total_found'] . " 条：<br>";
        
        foreach ($result['matches'] as $match) {
            echo "歌曲ID：" . $match['id'] . "<br>";
            echo "歌曲标题：" . $match['title'] . "<br>";
            echo "歌手：" . $match['artist'] . "<br>";
            echo "流派：" . $match['genre'] . "<br><br>";
        }
    } else {
        echo "未找到相关歌曲";
    }
}

?>

2. Place the script in the root directory of the web server, such as /var /www/html.

5. Test

Now, visit recommend.php?keyword=love (assuming the Web server IP address is localhost), You can see song information containing the keyword "love" in the search results.

Through the above steps, we have successfully implemented the intelligent music recommendation function using PHP and coreseek. Of course, this is just a simple example and you can make more complex customizations based on actual needs.

Summary:

This article introduces how to use PHP and coreseek to implement intelligent music recommendation function. The core steps include setting up the environment, building the music database and implementing the music recommendation function. I hope it will be helpful to your music platform development.

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