Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)

Mobile Internet Preference Recommendation Based on Scene Model

Authors
Yongguo Ren, Long Pang
Corresponding Author
Yongguo Ren
Available Online September 2016.
DOI
10.2991/icence-16.2016.8How to use a DOI?
Keywords
music recommendation; scene model; user preferences; mobile client
Abstract

The current domestic online music providers, such as QQ music, KuGou music, Baidu Music, etc., most of which support keywords retrieval of users to search songs, listen online, download songs, and other functions. Few manufacturers provides functions as 'songs may conform to your taste', 'songs of similar style' etc. However, there is still a more complex operating path for the users to truly find their favorite songs and start listening. In order to solve this problem, we put forward the solution recommended with personalized music scene, enabling the users to play their favorite music at proper time, proper place quickly and freely without too much knowledge of the music and a large amount of energy.

Copyright
© 2016, 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 Electronics, Network and Computer Engineering (ICENCE 2016)
Series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
10.2991/icence-16.2016.8
ISSN
2352-538X
DOI
10.2991/icence-16.2016.8How to use a DOI?
Copyright
© 2016, 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  - Yongguo Ren
AU  - Long Pang
PY  - 2016/09
DA  - 2016/09
TI  - Mobile Internet Preference Recommendation Based on Scene Model
BT  - Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
PB  - Atlantis Press
SP  - 38
EP  - 42
SN  - 2352-538X
UR  - https://doi.org/10.2991/icence-16.2016.8
DO  - 10.2991/icence-16.2016.8
ID  - Ren2016/09
ER  -