Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

The Music Resource Recognition for Internet

Authors
Wenqian Shang
Corresponding Author
Wenqian Shang
Available Online March 2013.
DOI
https://doi.org/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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Volume Title
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccsee.2013.267How to use a DOI?
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/).

Cite this article

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  - https://doi.org/10.2991/iccsee.2013.267
ID  - Shang2013/03
ER  -