The IPTV video evaluation model based on big data

The IPTV video evaluation model based on big data is a beneficial basis for IPTV video evaluation. With the new media, social network, Internet of things and cloud computing continuing to evolve, the video-related big data arises at the historic moment. IPTV has also become the choice of more and more users. And IPTV editors are troubled by how to choose the best video for IPTV users. In this paper, the IPTV video evaluation system is established on big data. By analyzing the big data and the IPTV video evaluation system, the IPTV video evaluation model is established by BP neural network on Spark. Firstly, combined with the existing IPTV video evaluation system, the IPTV video evaluation system is improved after analyzing the video data; Secondly, we collected the data needed for each index of IPTV video evaluation system and normalized the data. After that, the BP neural network evaluation model will be set up to evaluate the video. Finally, the parallel computation of video evaluation model has been achieved on Spark Platform. The experimental results show that the evaluation model based on Spark and BP neural network has high evaluation precision and evaluation speed.