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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jingxian Zhang Dong Liu |
| Copyright Year | 2014 |
| Description | Author affiliation: CAS Key Lab. of Technol. in Geo-spatial Inf. Process. & Applic. Syst., Univ. of Sci. & Technol. of China, Hefei, China (Jingxian Zhang; Dong Liu) |
| Abstract | Online music services have been popular for end users to obtain music, where user interests, as reflected by their downloading records, are crucial for service providers to understand users and thus to provide personalization. However, the raw downloading records are of huge volume and difficult to analyze intuitively. We study a visualization approach to analyzing downloading records so as to present user interests. To reveal the underlying relevance between music tracks, we utilized not only the metadata of music (especially genres), but also collaborative relevance that is voted by users. To present time varying user interests, we designed several new figures, namely Bean plot, Instrument plot, and Transitional Pie plot, that are capable in displaying different aspects of user interests variation. We have performed experiments with a real-world data set, and the results show the effectiveness of our proposed visualization method. Our work is also inspiring for visualization of time varying data in other applications. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 1056376 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479947171 |
| ISSN | 19457871 |
| DOI | 10.1109/ICMEW.2014.6890536 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-07-14 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Visualization Instruments Online music Collaborative relevance User interests Collaboration Statistical distributions Data visualization Color Educational institutions Neck Time varying |
| Content Type | Text |
| Resource Type | Article |
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