Proceedings of the 2018 2nd International Conference on Artificial Intelligence: Technologies and Applications (ICAITA 2018)

A Personalized Video Recommendation Algorithm Based on Complex Network

Authors
Shuxia Pang, Weifang Wang, Honglei Zhu
Corresponding Author
Shuxia Pang
Available Online March 2018.
DOI
10.2991/icaita-18.2018.17How to use a DOI?
Keywords
personalized; video recommendation; complex network
Abstract

Since the current world is overwhelmed by internet, it becomes important and necessary to find the personalized video information to meet the growing demand for all kinds of users. Video recommendation is a very useful method for getting video data quickly. A personalized video recommendation algorithm based on complex network is presented in the paper, which can recommend the video users interest. Once the users give some features of the video information, taking the IMDB film as an example, they will get what they want. The experimental results confirm the effectiveness of this method.

Copyright
© 2018, 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 2018 2nd International Conference on Artificial Intelligence: Technologies and Applications (ICAITA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
March 2018
ISBN
10.2991/icaita-18.2018.17
ISSN
1951-6851
DOI
10.2991/icaita-18.2018.17How to use a DOI?
Copyright
© 2018, 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  - Shuxia Pang
AU  - Weifang Wang
AU  - Honglei Zhu
PY  - 2018/03
DA  - 2018/03
TI  - A Personalized Video Recommendation Algorithm Based on Complex Network
BT  - Proceedings of the 2018 2nd International Conference on Artificial Intelligence: Technologies and Applications (ICAITA 2018)
PB  - Atlantis Press
SP  - 66
EP  - 69
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaita-18.2018.17
DO  - 10.2991/icaita-18.2018.17
ID  - Pang2018/03
ER  -