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管理科学与研究

《管理科学与研究》是IVY出版社旗下的一本关注管理科学理论与研究发展的国际期刊,是当代管理科学理论与现代产业相结合的综合性学术刊物。主要刊登有关管理科学理论与方法,及其在自然科学、工程技术、经济和社会等各领域内的最新研究进展的学术性论文和评论性文章。旨在为该领域内的专家、学者、科研人员提供一个良好的传播、分享和探讨管理科学方法最新进展的交流平台,反映学术前沿水平,促进学术交流,推进管理科学理论和应用方法的发展。本刊可接收中、英文稿件。其中…… 【更多】 《管理科学与研究》是IVY出版社旗下的一本关注管理科学理论与研究发展的国际期刊,是当代管理科学理论与现代产业相结合的综合性学术刊物。主要刊登有关管理科学理论与方法,及其在自然科学、工程技术、经济和社会等各领域内的最新研究进展的学术性论文和评论性文章。旨在为该领域内的专家、学者、科研人员提供一个良好的传播、分享和探讨管理科学方法最新进展的交流平台,反映学术前沿水平,促进学术交流,推进管理科学理论和应用方法的发展。

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Paper Infomation

Application of Personalized Recommendation System in Music Platform

Full Text(PDF, 105KB)

Author: Nan Sun, Borui Liu, Meiran Liu, jizhe cui

Abstract: This paper introduces the basic framework of the personalized recommendation system, the typical model of the music recommendation system and the main methods. At the same time, it analyzes the problems in the current recommendation technology and finds out the future optimization direction of the music recommendation system by discussing the solution of the problem.

Keywords: Recommended System, Content Characteristics, Collaborative Filtering

References:

[1] Shenzhen Guotai An Education Technology Co., Ltd. big data business. Introduction to Big Data[M]. Tsinghua University Press, 2015:1.

[2] Lei Yin, The Development Course and Practice Framework of Personalized Recommendation System[DB/OL], http://www.baifendian.com/bigdata/400.html, 2016-09-2.

[3] Tan X, He S. Research Review on Music Personalized Recommendation System[J]. New Technology of Library & Information Service, 2014.

[4] DUAN Li-jun. Analysis and Comparison of User Preference Modeling methods in Service Discovery[J]. Journal of Hubei Second Teachers College, 2016, 33(2):61-64.

[5] ZHANG Yan, TANG Zhenmin, LI Yanping. Music Feature Extraction Method for Recommendation System.Computer Engineering and Applications, 2011, 47(5):130-133.

[6] LI Juan, ZHOU Mingquan, LI Peng. Music database construction based on MIDI melody feature Extraction.Computer Engineering and Applications, 2011, 47(26):124-128.

[7] David E. Hogan, Thomas Huesman. Music Training and Semantic Clustering in College Students[J]. Journal of Genetic Psychology, 2008, 169(4):322.

[8] LI Xiaolong. Research on E-commerce Personalized Recommendation Based on Map/reduce[D]. Beijing Jiaotong University, 2014.

[9] Wang Ran. Research and Implementation of Music Recommendation System Based on Mobile User's Behavior Perception[D]. Beijing University of Technology, 2016.

[10] DU Jintao. A Study on Collaborative Recommendation Model Based on Rough Set [D]. Hangzhou Dianzi University, 2009.

[11] He An. Research on Collaborative Filtering Technologies of Recommendation System for E-commerce[D]. Zhejiang University, 2007.

[12] Wang G. Survey of personalized recommendation system[J]. Computer Engineering & Applications, 2012.

[13] Cai Heng. Research on Collaborative Filtering Algorithm of Recommender Systems[D]. Jilin University, 2015.

[14] Yang Q, Pan X. Status and Development of Music Recommendation Technology[J]. Audio Engineering, 2012.

[15] Li X U. Collabrative Filtering Recommendation Based on Demography Information[J]. Journal of Anhui Science & Technology University, 2007.

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