The Netflix Tech Blog: Optimizing Content Quality Control at Netflix with Predictive Modeling



The Netflix Tech Blog: Optimizing Content Quality Control at Netflix with Predictive Modeling

As we expand globally, our goal is to ensure that every member has a high-quality experience every time they stream content on Netflix. This challenging problem is impacted by factors that include quality of the member's Internet connection, device characteristics, content delivery network, algorithms on the device, and quality of content. We previously looked at opportunities to improve the Netflix streaming experience using data science . In this post, we'll focus on predictive modeling to optimize the quality control (QC) process for content at Netflix. Content Quality An important aspect of the streaming experience is the quality of the video, audio, and text (subtitle, closed captions) assets that are used. Imagine sitting down to watch the first episode of a new season of your favorite show, only to find that the video and audio are off by 20 seconds. You decide to watch it anyway and turn on subtitles to follow along.

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