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现代图书情报技术  2014, Vol. 30 Issue (9): 22-32    DOI: 10.11925/infotech.1003-3513.2014.09.04
  数字图书馆 本期目录 | 过刊浏览 | 高级检索 |
音乐个性化推荐系统研究综述
谭学清, 何珊
武汉大学信息管理学院 武汉 430072
Research Review on Music Personalized Recommendation System
Tan Xueqing, He Shan
School of Information Management, Wuhan University, Wuhan 430072, China
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摘要 

[目的] 对音乐推荐的研究概况进行调研和总结,探讨其存在的问题,提出相应的研究热点。[方法] 采用文献分析法,从推荐算法的角度简要介绍各个推荐策略,着重根据音乐资源描述方式的不同对现有音乐推荐的相关文献进行归类总结。[结果] 进一步提出运用粗糙集理论提取重要情境信息的方法,将该类情境下的用户偏好与协同过滤推荐技术相结合实现基于情境感知的音乐推荐的新思路。[结论] 现有研究中存在缺乏对用户行为和需求的系统研究、特征提取低层次以及评测指标单一问题。未来可以从群体音乐推荐、本体建模、移动环境下基于情境感知的音乐推荐等方面展开更深入的探讨。

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何珊
谭学清
关键词 推荐系统音乐推荐元数据粗糙集情境感知    
Abstract

[Objective] The paper surveys and summaries the general situation of the research on music recommendation, discusses the existing problems, and proposes the corresponding research hot spot. [Methods] By using literature analysis method, the paper introduces each recommended strategy briefly from the angle of the recommendation algorithm, categorizes and summaries the articles mainly relating to music recommendation from different description perspectives of music resources. [Results] Further put forward new ideas by using rough set theory to extract the important context information, then combining user preferences under the context with collaborative filtering recommendation technology to realize music recommendation based on context-awareness. [Conclusions] There are some problems existing in the study, such as the lack of systematic research on user behavior and demand, low level of feature extraction and single evaluation index. The future development directions of music recommendation will be discussed deeply from the angle of group music recommendation, Ontology modeling and context-aware music recommendation in the mobile environment.

Key wordsRecommender system    Music recommendation    Metadata Rough set    Context-awareness
收稿日期: 2014-03-05     
:  TP311  
通讯作者: 何珊 E-mail:hezhaoge90@163.com     E-mail: hezhaoge90@163.com
作者简介: 作者贡献声明:谭学清:对重要的学术内容进行补充,论文审阅及定稿;何珊:提出论文研究思路,设计研究方案,收集分析相关文献,论文写作。
引用本文:   
谭学清, 何珊. 音乐个性化推荐系统研究综述[J]. 现代图书情报技术, 2014, 30(9): 22-32.
Tan Xueqing, He Shan. Research Review on Music Personalized Recommendation System. New Technology of Library and Information Service, DOI:10.11925/infotech.1003-3513.2014.09.04.
链接本文:  
http://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2014.09.04

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