流行音乐推荐系统的设计与实现

流行音乐推荐系统的设计与实践摘要协同过滤算法作为一种常用的音乐推荐算法，已经被广泛应用于音乐推荐系统中。本文提出了一种基于特征向量的协同过滤算法，将用户行为数据和音乐特征数据进行融合，通过计算用户和音乐之间的相似度来实现准确的音乐推荐。实验结果表明，所提出的算法能够有效地提高音乐推荐的准确性和系统的可扩展性，为用户提供了更加个性化的音乐推荐服务。本文研究的基于协同过滤的音乐推荐系统，将特征向量引入协同过滤算法中，综合考虑了用户行为数据和音乐特征数据的影响。通过计算用户和音乐之间的相似度，本文提出的算法能够对音乐进行准确的推荐，为用户提供更加个性化的服务。实验结果表明，所提出的算法具有很好的推荐效果和可扩展性，为音乐推荐领域的研究和实践提供了有价值的参考。关键词协同过滤算法：音乐推荐：特征向量Music Recommendation System Based onCollaborative FilteringABSTRACTAs a commonly used music recommendation algorithm,collaborativefiltering algorithm has been widely used in music recommendation systems.Thispaper proposes a collaborative filtering algorithm based on feature vectors,whichintegrates user behavior data and music feature data,and achieves accurate musicrecommendation by calculating the similarity between users and music.Theexperimental results show that the proposed algorithm can effectively improvethe accuracy of music recommendation and the scalability of the system,andprovide users with more personalized music recommendation services.The collaborative filtering-based music recommendation system studied inthis paper introduces feature vectors into the collaborative filtering algorithm,andcomprehensively considers the influence of user behavior data and music featuredata.By calculating the similarity between users and music,the algorithmproposed in this paper can accurately recommend music and provide users withmore personalized services.The experimental results show that the proposedalgorithm has good recommendation effect and scalability,which provides avaluable reference for the research and practice in the field of musicrecommendation.Keywords Collaborative;filtering;algorithm;music;recommendation;featurevector目录1概述.11.1课题背景1.2研究意义1.3主要研究内容.11.4文章结构.22关键技术简介.22.1 Springboot.....22.2 layui..32.3 Mahout.............32.4协同过滤算法2.5 Mybatis.….42.6关系型数据库Mysql….43需求与可行性分析…53.1系统需求分析3.1.1推荐系统用户端需求3.1.2推荐系统管理端需求..63.1.3推荐系统算法设计.63.2技术可行性分析63.3操作可行性分析.74协同过滤算法与系统设计84.1系统功能模块设计84.2系统架构设计.104.3协同过滤算法设计..1l4.3.1设计过程.4.3.2算法评估.….125系统详细设计与实现.135.1登录与注册.。.135.2用户端….175.2.1显示轮播图.175.2.2音乐分类。185.2.3音乐搜索.195.2.4分页展示...205.2.5音乐榜单.….225.3管理端.235.3.1管理员管理23