摘        要

听音乐是人们生活中较为重要的娱乐方式，互联网的快速普及，促进了音乐多媒体平台的发展，音乐推荐慢慢成为个性化推荐系统不可或缺的一部分。而随着网络发展和普及，人们渐渐地习惯了音乐随听随播的方式，这样就减少了主动搜索音乐的行为，所以个性化音乐推荐是现今在线音乐服务平台必备的功能。

本项目拟开发一个基于Spring Boot的个性化音乐推荐系统，使用协同过滤推荐算法，收集用户收听音乐等记录，并对音乐特征进行分析，计算出与其兴趣相似的其他用户的音乐，向用户推荐其可能感兴趣的音乐列表，来满足用户对收听音乐的需求。项目采用Spring Boot框架、JPA接口、Tomcat服务器和MySQL数据库等技术研发系统，使得开发系统变得更快速简单，并且实现的功能全面。

关键词：个性化音乐推荐系统  Spring Boot  JPA  MySQL  Tomcat

Abstract

Listening to music is an important entertainment method in people's lives. The rapid popularization of the Internet has promoted the development of music multimedia platforms. Music recommendation has slowly become an indispensable part of personalized recommendation systems. With the development and popularization of the Internet, people are gradually accustomed to the method of music listening and listening, which reduces the behavior of actively searching for music, so personalized music recommendation is an essential function of today's online music service platform.

This project intends to develop a personalized music recommendation system based on Spring Boot. It uses collaborative filtering recommendation algorithms to collect records such as user listening to music, analyze music characteristics, calculate music from other users with similar interests, and recommend them to users. A list of music that may be of interest to meet the user's needs for listening to music. The project uses the Spring Boot framework, JPA interface, Tomcat server and MySQL database and other technical research and development systems, making the development system faster and simpler, and the comprehensive functions achieved.

Key words: Personalized music recommendation system; Spring Boot; JPA; MySQL; Tomcat