基于推荐技术的中国音乐数据库系统的设计  

Design of Database System of Chinese Music Based on Recommendation Technology

作　　者：周强[1] 李曦[2] 

机构地区：[1]中国科学院文献情报中心,北京100190 [2]中国科学技术大学,安徽合肥230026

出　　处：《计算机技术与发展》2015年第7期162-165,共4页Computer Technology and Development

基　　金：国家自然科学基金资助项目(61379040)

摘　　要：目前的中国音乐网站,没有把音乐检索、音乐推荐结合起来。文中介绍的中国音乐数据库系统网站,提供了按曲名、作曲家、演奏者进行检索,在检索结果页面中,显示推荐结果,推荐结果展示分为用户收听歌曲的详细信息界面的"浏览本乐曲资料的还浏览了"、"收听本乐曲的还收听了"两部分。文中介绍了该中国音乐数据库系统网站的设计,该网站的推荐系统采用了基于物品的协同过滤算法,文中详细介绍了基于物品的协同过滤算法。接着,全面介绍了该数据库系统网站推荐系统的设计。现在,中国音乐数据库系统网站完成了演示版的开发,功能正确,系统运行稳定,用户对乐曲推荐的结果比较满意。Currently, the China music website,could not combine music retrieval with music recommendation. The China music database system website is introduced in this paper, provides the retrieving by song name, composer, and player. In retrieved results page, displa- ying recommended results, recommended results show is divided into user listening to songs of detailed information interface of ＂browsing this music information also browse＂ and ＂listening to this music also listen to＂. The design of database system of Chinese music website is introduced, the site recommendation system adopts the collaborative filtering algorithm based on item, which is described in detail. Then,provide an overview of the recommender system design of database system website. Now, the development of demo version of data- base system of Chinese music has been completed, with correct function and stable mnhing, which is more satisfied by users.

关 键 词：基于物品的协同过滤算法 乐曲 推荐 用户行为 

分 类 号：TP302.1[自动化与计算机技术—计算机系统结构]