Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)

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A Scalable Music Recommendation System

Authors
Mingruo Shi
Corresponding Author
Mingruo Shi
Available Online September 2017.
DOI
10.2991/icmmcce-17.2017.196How to use a DOI?
Keywords
Recommendation; Content based filtering; Ranking; Hadoop
Abstract

A content match based on filtering solution is proposed to handle large number of users and songs for search engine as a recommendation system is increasing important in online video application, news recommendation and electronic commerce especially in search engine. Our method could be applied to search engine like Google, Bing and Baidu to highly enhance user experience.

Copyright
© 2017, 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 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)
Series
Advances in Engineering Research
Publication Date
September 2017
ISBN
978-94-6252-381-4
ISSN
2352-5401
DOI
10.2991/icmmcce-17.2017.196How to use a DOI?
Copyright
© 2017, 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

risenwbib
TY  - CONF
AU  - Mingruo Shi
PY  - 2017/09
DA  - 2017/09
TI  - A Scalable Music Recommendation System
BT  - Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)
PB  - Atlantis Press
SP  - 1095
EP  - 1098
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmcce-17.2017.196
DO  - 10.2991/icmmcce-17.2017.196
ID  - Shi2017/09
ER  -