[1]周强[],李曦[]. 基于推荐技术的中国音乐数据库系统的设计[J].计算机技术与发展,2015,25(07):162-165.
 ZHOU Qiang[],LI Xi[]. Design of Database System of Chinese Music Based on Recommendation Technology[J].,2015,25(07):162-165.
点击复制

 基于推荐技术的中国音乐数据库系统的设计()
分享到:

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年07期
页码:
162-165
栏目:
应用开发研究
出版日期:
2015-07-10

文章信息/Info

Title:
 Design of Database System of Chinese Music Based on Recommendation Technology
文章编号:
1673-629X(2015)07-0162-04
作者:
 周强[1] 李曦[2]
 1.中国科学院 文献情报中心;2.中国科学技术大学
Author(s):
 ZHOU Qiang[1]LI Xi[2]
关键词:
 基于物品的协同过滤算法乐曲推荐用户行为
Keywords:
 collaborative filtering algorithm based on itemsmusicrecommendationuser behavior
分类号:
TP302.1
文献标志码:
A
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。
Abstract:
 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 running,which is more satisfied by users.

相似文献/References:

[1]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
 ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(07):1.
[2]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
 LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(07):5.
[3]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
 HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(07):13.
[4]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
 HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(07):21.
[5]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
 LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(07):25.
[6]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
 WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(07):29.
[7]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
 LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(07):34.
[8]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
 SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(07):38.
[9]叶偲,李良福,肖樟树. 一种去除运动目标重影的图像镶嵌方法研究[J].计算机技术与发展,2014,24(07):43.
 YE Si,LI Liang-fu,XIAO Zhang-shu. Research of an Image Mosaic Method for Removing Ghost of Moving Targets[J].,2014,24(07):43.
[10]余松平[][],蔡志平[],吴建进[],等. GSM-R信令监测选择录音系统设计与实现[J].计算机技术与发展,2014,24(07):47.
 YU Song-ping[][],CAI Zhi-ping[] WU Jian-jin[],GU Feng-zhi[]. Design and Implementation of an Optional Voice Recording System Based on GSM-R Signaling Monitoring[J].,2014,24(07):47.

更新日期/Last Update: 2015-09-07