标题:Content and user-based music visual analysis
作者:Guo Xiaochun; Tang Lei
作者机构:[Guo Xiaochun] Taishan Univ, Sch Informat & Technol, Tai An, Shandong, Peoples R China.; [Tang Lei] Shandong Univ, Jinan 250100, Shandong, Peoples R 更多
会议名称:6th International Conference on Electronics and Information Engineering (ICEIE)
会议日期:SEP 26-27, 2015
来源:SIXTH INTERNATIONAL CONFERENCE ON ELECTRONICS AND INFORMATION ENGINEERING
出版年:2015
卷:9794
DOI:10.1117/12.2203545
关键词:Music; Visualization; recommendation; Interaction; Behavior
摘要:In recent years, people's ability to collect music got enhanced greatly. Many people who prefer listening music offline even stored thousands of music on their local storage or portable device. However, their ability to deal with music information has not been improved accordingly, which results in two problems. One is how to find out the favourite songs from large music dataset and satisfy different individuals. The other one is how to compose a play list quickly. To solve these problems, the authors proposed a content and user-based music visual analysis approach. We first developed a new recommendation algorithm based on the content of music and user's behaviour, which satisfy individual's preference. Then, we make use of visualization and interaction tools to illustrate the relationship between songs and help people compose a suitable play list. At the end of this paper, a survey is mentioned to show that our system is available and effective.
收录类别:CPCI-S;EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84963490909&doi=10.1117%2f12.2203545&partnerID=40&md5=ba8795e8bdddc8e8f28d59a547ff4a5c
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