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/).
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 -