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Personalized Online Live Video Streaming Using Softmax-Based Multinomial Classification
2019
Applied Sciences
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.
doi:10.3390/app9112297
fatcat:id4aalcfmzcazdyv4hosqsggry