The Music Resource Recognition for Internet

DOI

10.2991/iccsee.2013.267How to use a DOI?

Keywords

music resource recognition, machine learning, recommendation, data mining

Abstract

Along with the rapid development of the Internet, Music resources on the Internet grow very quickly. Its huge number makes the audience can not select what they need from the music files rely solely on traditional publicity and audition. According to the characteristics of the music files in the current Internet, we propose a machine learning-based platform for music recommendation. With data mining techniques, through behavior analysis of user actions, user preferences, it can achieve the automation of music resources push.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wenqian Shang
PY  - 2013/03
DA  - 2013/03
TI  - The Music Resource Recognition for Internet
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1064
EP  - 1066
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.267
DO  - 10.2991/iccsee.2013.267
ID  - Shang2013/03
ER  -