Abstract
In music information retrieval (MIR) an important research topic, which has attracted much attention recently, is the utilization of user-assigned tags, artist-related style, and mood labels, which can be extracted from music listening web sites, such as Last.fm (http://www.last.fm/) and All Music Guide (http://www.allmusic.com/). A fundamental research problem in the area is how to understand the relationships among artists/songs and these different pieces of information.
| Original language | English (US) |
|---|---|
| Article number | 6111486 |
| Pages (from-to) | 471-481 |
| Number of pages | 11 |
| Journal | IEEE Transactions on Multimedia |
| Volume | 14 |
| Issue number | 2 |
| DOIs | |
| State | Published - Apr 1 2012 |
Keywords
- Co-clustering
- hierarchical clustering
- user tags
ASJC Scopus subject areas
- Signal Processing
- Media Technology
- Computer Science Applications
- Electrical and Electronic Engineering
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Li, J., Shao, B., Li, T., & Ogihara, M. (2012). Hierarchical co-clustering: A new way to organize the music data. IEEE Transactions on Multimedia, 14(2), 471-481. [6111486]. https://doi.org/10.1109/TMM.2011.2181151