| Authors |
|
| Publication date |
2013
|
| Book title |
CIKM'13
|
| Book subtitle |
proceedings of the 22nd ACM International Conference on Information & Knowledge Management: Oct. 27- Nov. 1, 2013, San Francisco, CA, USA
|
| ISBN |
|
| Event |
CIKM'13
|
| Pages (from-to) |
2501-2504
|
| Publisher |
New York, NY: Association for Computing Machinery
|
| Organisations |
-
Faculty of Science (FNWI) - Informatics Institute (IVI)
|
| Abstract |
We describe Streamwatchr, a real-time system for analyzing the music listening behavior of people around the world. Streamwatchr collects music-related tweets, extracts artists and songs, and visualizes the results in three ways: (i) currently trending songs and artists, (ii) newly discovered songs, and (iii) popularity statistics per country and world-wide for both songs and artists.
|
| Document type |
Conference contribution
|
| Language |
English
|
| Published at |
https://doi.org/10.1145/2505515.2508216
|
|
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