摘 要：本论文基于机器学习技术，研究了智能音乐分类与推荐系统的设计与实现。在相关技术与概念部分，对机器学习、深度学习技术、音乐分类与推荐算法以及评价指标进行了概述。在智能音乐分类系统的设计与实现部分，通过数据集的获取与预处理、特征工程的实现、模型设计与优化、结果分析与展示，提出了一套完整体系的智能音乐分类系统。在智能音乐推荐系统的设计与实现部分，通过用户画像的建立、推荐算法的选择与设计、推荐结果的展示和反馈、结果的评价与优化，提出了一套完整体系的智能音乐推荐系统。最后，在实验与结果分析部分，设计实验方案，对实验结果进行分析，并进行系统性能评价。本论文的研究成果对智能音乐分类与推荐系统的设计和优化具有一定的参考意义，对促进智能音乐领域的研究和应用具有一定的推动作用。
关键词：机器学习；智能音乐；分类算法；推荐系统；深度学习
Research on Intelligent Music Classification and Recommendation System Based on Machine Learning
【Abstract】This paper focuses on the design and implementation of an intelligent music classification and recommendation system based on machine learning technology. In the relevant technology and concept section, an overview was provided on machine learning, deep learning technology, music classification and recommendation algorithms, and evaluation indicators. In the design and implementation part of the intelligent music classification system, a complete and systematic intelligent music classification system is proposed through the acquisition and preprocessing of datasets, implementation of feature engineering, model design and optimization, and result analysis and display. In the design and implementation part of the intelligent music recommendation system, a complete and systematic intelligent music recommendation system is proposed through the establishment of user profiles, selection and design of recommendation algorithms, display and feedback of recommendation results, and evaluation and optimization of results. Finally, in the experimental and result analysis section, design an experimental plan, analyze the experimental results, and evaluate the system performance. The research results of this paper have certain reference significance for the design and optimization of intelligent music classification and recommendation systems, and have a certain driving role in promoting research and application in the field of intelligent music.
【Keywords】Machine learning; Intelligent music; Classification algorithm; Recommendation system; Deep learning
目 录
前言 1
一、相关技术与概念 3
（一）机器学习概述 3
（二）深度学习技术 3
（三）音乐分类与推荐算法 3
（四）评价指标 4
二、智能音乐分类系统的设计与实现 5
（一）数据集的获取与预处理 5
（二）特征工程的实现 5
（三）模型设计与优化 6
（四）结果分析与展示 7
三、智能音乐推荐系统的设计与实现 8
（一）用户画像的建立 8
（二）推荐算法的选择与设计 8
（三）推荐结果的展示和反馈 9
（四）结果的评价与优化 10
四、实验与结果分析 10
（一）实验方案设计 11
（二）实验结果分析 11
（三）系统性能评价 11
（四）实验结论 11
结语 12
参考文献 13
