《基于音乐网站的过滤式网络爬虫研究》
摘要: 本文研究的是基于音乐网站的过滤式网络爬虫。随着网络的普及,人们对于在线数字音乐服务的需求也越来越高,然而现有的音乐网站存在同质化严重的问题,无法满足部分用户的需求。为了解决这个问题,本文通过数据爬取和算法分析,开发了一个音乐网站,旨在帮助人们更方便地找到自己喜欢的歌曲。该音乐网站采用B/S结构,使用python、tornado、mysql和redis进行系统搭建。在软件工程规范的约束下,结合实际情况进行系统开发。本文还介绍了目前音乐电台存在的问题,并详细介绍了开发环境和方法。 Abstract: This paper studies the web crawler based on music website. With the popularity of the internet, people's demand for online digital music services is increasing. However, existing music websites suffer from serious homogeneity problems and fail to meet the needs of some users. In order to solve this problem, this paper develops a music website through data crawling and algorithm analysis, aiming to help people find their favorite songs more easily. The music website is built using B/S structure and is developed with python, tornado, mysql, and redis. Following the specifications of software engineering, the system is developed considering practical situations. This paper also discusses the problems of current music websites and provides detailed introduction to the development environment and methods.
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