音乐推荐平台的设计与实现 毕业论文
摘 要
随着科技进步，越来越多的音乐App出现，它们不仅满足了用户对于丰富内容的渴望，还极大地改善了用户体验。一套精心设计的推荐系统，不仅能够有效地满足用户的视觉冲击，还能够有效地吸引用户，增强其体验，同时也给平台带来巨额的流量及利润。
大数据音乐推荐系统采用Python语言进行系统的编写，使用HDFS和MySQL数据库来存储相关数据，利用Django框架搭建web页面，最终构建出一个完整的音乐网站，并以此展示爬取到的数据。利用数据对用户喜欢的音乐进行推荐，实现用户对音乐收藏和喜欢的管理，可以满足方便用户进行操作，满足用户的基本需求。
关键词：音乐推荐系统；大数据；Python
Abstract
With the advancement of technology, more and more music apps have emerged, which not only satisfy users' desire for rich content, but also greatly improve the user experience. A well-designed recommendation system can not only effectively meet the visual impact of users, but also effectively attract users and enhance their experience, and also bring huge traffic and profits to the platform.
The big data music recommendation system is written in Python language, HDFS and MySQL databases are used to store relevant data, and Django framework is used to build web pages, and finally a complete music website is built to display the crawled data. The data is used to recommend the music that users like, and the management of users' music collections and likes can be used to facilitate the operation of users and meet the basic needs of users
Keywords: music recommendation; big data;python
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