How to use MySQL and Java to implement a simple movie recommendation function

How to use MySQL and Java to implement a simple movie recommendation function

In recent years, with the popularity of the Internet and big data, the movie recommendation function has become a feature of many film and television platforms An important part of. By analyzing users' preferences and behaviors, we can accurately recommend movies that are suitable for users, improving user experience and platform activity. This article will introduce how to use MySQL and Java to implement a simple movie recommendation function, and provide specific code examples.

1. Database Design
   Before we start, we need to design a database to store movie and user data. Assume that movies have fields such as id, name, type, and rating, and users have fields such as id, username, etc. In addition, we also need to design a table to store the user's movie viewing records, including fields such as user id, movie id, and movie viewing time. The specific SQL statements are as follows:

-- Create movie table
CREATE TABLE movies (
id INT PRIMARY KEY AUTO_INCREMENT,
name VARCHAR(255),
type VARCHAR (255),
rating DECIMAL(3,1)
);

--Create user table
CREATE TABLE users (
id INT PRIMARY KEY AUTO_INCREMENT,
username VARCHAR(255)
);

--Create movie viewing record table
CREATE TABLE user_movie_records (
user_id INT,
movie_id INT,
watch_time DATETIME,
PRIMARY KEY(user_id, movie_id),
FOREIGN KEY(user_id) REFERENCES users(id),
FOREIGN KEY(movie_id) REFERENCES movies(id)
);

2. Database Operation
   Use Java language to connect to the MySQL database and perform related operations. The following is a simple example, including three functions: connecting to the database, querying movie information and inserting movie viewing records:

import java.sql.*;

public class MovieRecommendationSystem {

private static final String DB_URL = "jdbc:mysql://localhost:3306/movie_recommendation";
private static final String DB_USER = "root";
private static final String DB_PASSWORD = "password";

public static void main(String[] args) {
    try(Connection conn = DriverManager.getConnection(DB_URL, DB_USER, DB_PASSWORD);
        Statement stmt = conn.createStatement()) {

        // 查询电影信息
        String movieQuery = "SELECT * FROM movies";
        ResultSet movieResult = stmt.executeQuery(movieQuery);
        while (movieResult.next()) {
            int id = movieResult.getInt("id");
            String name = movieResult.getString("name");
            String type = movieResult.getString("type");
            double rating = movieResult.getDouble("rating");
            System.out.println("电影ID：" + id + "，电影名称：" + name + "，电影类型：" + type + "，评分：" + rating);
        }

        // 插入观影记录
        int userId = 1;
        int movieId = 1;
        String watchTime = "2022-01-01 08:00:00";
        String insertRecord = "INSERT INTO user_movie_records (user_id, movie_id, watch_time) VALUES (?, ?, ?)";
        PreparedStatement insertStmt = conn.prepareStatement(insertRecord);
        insertStmt.setInt(1, userId);
        insertStmt.setInt(2, movieId);
        insertStmt.setString(3, watchTime);
        insertStmt.executeUpdate();
        System.out.println("插入观影记录成功");

    } catch (SQLException e) {
        e.printStackTrace();
    }
}

}

3. Recommendation Algorithm
   The core of movie recommendation is to perform recommendation calculations based on the user’s viewing records and movie characteristics. Here we will use a simple user-based collaborative filtering algorithm to calculate the similarity between users and recommend movies to users that are similar to their interests.

The specific recommendation algorithm is beyond the scope of this article, but you can use related machine learning and recommendation algorithm libraries to implement it. Some commonly used recommendation algorithms include domain-based recommendation, matrix factorization, and deep learning. You can choose the appropriate algorithm based on your needs and the complexity of your project.

Summary:
This article introduces how to use MySQL and Java to implement a simple movie recommendation function. We first designed a database table to store movie and user data, then used Java to connect to the database, and implemented the functions of querying movie information and inserting movie viewing records. Finally, we mentioned the importance of recommendation algorithms and briefly mentioned some commonly used recommendation algorithms.

Through these sample codes and simple recommendation algorithms, you can further expand and optimize your movie recommendation function according to your own needs and business scenarios. I wish you smooth sailing on your way to realizing the movie recommendation function!

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