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Applied Sciences, Vol. 9, Pages 2297: Personalized Online Live Video Streaming Using Softmax-Based Multinomial Classification

04 Jun 2019

Applied Sciences, Vol. 9, Pages 2297: Personalized Online Live Video Streaming Using Softmax-Based Multinomial Classification

Applied Sciences doi: 10.3390/app9112297

Authors:
Kyeongseon Kim
Dohyun Kwon
Joongheon Kim
Aziz Mohaisen

As the demand for over-the-top and online streaming services exponentially increases, many techniques for Quality of Experience (QoE) provisioning have been studied. Users can take actions (e.g., skipping) while streaming a video. Therefore, we should consider the viewing pattern of users rather than the network condition or video quality. In this context, we propose a proactive content-loading algorithm for improving per-user personalized preferences using multinomial softmax classification. Based on experimental results, the proposed algorithm has a personalized per-user content waiting time that is significantly lower than that of competing algorithms.

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