Design and implementation of video popularity prediction system based on machine learning

Zengyu Cai; Zhishang Zhao; Yao Xiao; Jianwei Zhang; Yuming Dai; Shujun Liang

doi:10.1117/12.3025922

8 April 2024 Design and implementation of video popularity prediction system based on machine learning

Zengyu Cai, Zhishang Zhao, Yao Xiao, Jianwei Zhang, Yuming Dai, Shujun Liang

Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 1309029 (2024) https://doi.org/10.1117/12.3025922
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China

Abstract

With the rapid development of internet technology, video service providers have gradually amassed substantial user bases, which in turn generate significant traffic and revenue. However, this also escalates network load, inadvertently leading to a degradation in user experience. By predicting and pushing highly popular videos to users, it is possible to enhance user experience, increase revenue, and alleviate network load. In this paper, leveraging the Pycharm platform and utilizing the Python language in conjunction with a MySQL database, we have designed a machine learning-based video popularity prediction system. This system accomplishes the prediction of video popularity.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zengyu Cai, Zhishang Zhao, Yao Xiao, Jianwei Zhang, Yuming Dai, and Shujun Liang "Design and implementation of video popularity prediction system based on machine learning", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 1309029 (8 April 2024); https://doi.org/10.1117/12.3025922

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