基于用户行为和音频特征的音乐推荐系统设计与实现  

Design and implementation of music recommendation system based on user behavior and audio characteristics

作　　者：杨建 刘磊 康欣欣 Yang Jian;Liu Lei;Kang Xinxin(Xi’an Conservatory of Music,Xi’an 710061,China)

机构地区：[1]西安音乐学院,陕西西安710061

出　　处：《无线互联科技》2023年第9期55-57,共3页Wireless Internet Technology

摘　　要：个性化推荐是音乐推荐系统的核心功能。文章基于用户行为和音频特征设计了音乐推荐系统,以期达到系统推荐歌曲与用户音乐偏好完美匹配的效果。文章首先介绍了系统开发环境和整体组成架构,该系统由用户模块、用户行为模块、推荐模块构成,并对各模块功能的设计与实现方式展开了分析。在个性推荐模块,使用了基于用户社区的快速组推荐算法和音乐特征识别技术,保证了推荐结果更加符合用户的音乐偏好,提高了音乐推荐系统的应用效果。Personalized recommendation is the core function of music recommendation system.This paper designs a music recommendation system based on user behavior and audio characteristics,in order to achieve a perfect match between the system's recommended songs and users' music preferences.This paper first introduces the system development environment and the overall structure,the system is composed of user module,user behavior module,recommendation module,and analyzes the design and implementation of each module function.In the personalized recommendation module,the fast group recommendation algorithm based on user community and music feature recognition technology are used to ensure that the recommendation results are more in line with the user's music preference,and improve the application effect of the music recommendation system.

关 键 词：音乐推荐系统 用户行为 音频特征 SQL语句 

分 类 号：TP311.1[自动化与计算机技术—计算机软件与理论]