毕业论文移动版

摘要：在这个网络信息发展突飞猛进的时代，快速并高效地处理信息已经成为了各大行业最大的的需求。在线音乐试听与推荐网站系统的管理方式是一种计算机化的管理方式，而且其界面操作便捷，人性化设施很多，在本次设计中也能体现出来，例如其中的搜索和推荐功能，让用户能更加方便的使用。本设计包括了音乐播放和歌曲推荐的功能，它具有运行速度快、安全性高，跨平台，很强的可移植性等特点。用户可以通过在推荐网站系统上注册系用户后登录在线音乐播放与推荐网站系统，其中分别有歌手搜索、歌名搜索、播放列表、我的收藏、歌曲管理等操作功能。JSP在线音乐试听与推荐网站系统用的开发工具是MyEclipse和以WEB为基础的JAVA技术，而且用到了可以管理数据的数据库服务器SQL SERVER来对开发的数据进行系统管理。其中用到了多层体系的算法，并选用协同过滤算法进行歌曲的推荐功能，通过协同算法挖掘用户偏好之间的关联，计算用户偏好间的算法等，并基于此数据运算达到歌曲推荐的功能。此功能可以在此次设计的音乐播放网站上运作及筛选过滤，此算法可以高速有效地运算推荐指数并综合，从而进行各种风格音乐对用户的推荐。71988

毕业论文关键词：在线音乐试听与推荐网站；JSP；协同过滤算法；SQL Server 

Abstract Abstract: in this era of rapid development of network information, rapid and efficient processing of information has become the biggest demand of major industries。 Music online and website management recommendation system is a computerized management system, the interface and convenient operation, humanized facilities, also can be reflected in this design, such as the search and recommendation function, allowing users to use more convenient。 This design includes the function of music broadcast and song recommendation。 It has the characteristics of high speed, high security, cross platform, strong portability and so on。 The user can through the registered users in the Department recommended website system after login online music website system and recommendations, which were the singer song search, search, playlists, my collection, song management and other operational functions。 JSP online music website system and recommend the development tools used MyEclipse and WEB based on JAVA technology, and used the SQL database server can manage the data to SERVER on the development of data management system。 Which uses a multi-layer system algorithm, and the algorithm of collaborative filtering recommendation function of songs, through the collaborative mining algorithm of association between user preferences, user preference is calculated between the algorithm, and based on the data operations to achieve the function of music recommendation。 This function can be run on the design of the music broadcast site and filter filtering, this algorithm can be high speed and effective operation of the recommendation index and synthesis, so as to carry out various styles of music to the user's recommendation。

Keywords: Online music audition and Website; JSP; collaborative filtering algorithm; SQL Server

 目录

摘要 I

Abstract II

目录 III

1 绪论 1

1。1 课题研究背景 1

1。2 数据挖掘中的协同过滤算法 2

1。3 本课题主要工作 4

2 系统相关技术 5

2。1 JSP技术 5

2。2 MVC模式 5 (责任编辑：qin)