TLDR
The algorithm responsible for YouTube’s recommendations seems to be Sherlock Holmes himself who knows what video will make the website more riveting for you. YouTube ranks its videos on multiple features like video content, thumbnail, audio, title, description, etc. The primary requirement according to the researchers was to bridge the semantic gap between low-level video features to get them on a single scale, and then make the model capable of distributing the items sparsely over the feature space. The most highlighted and emphasized and emphasized ingredient of all is user feedback.via the TL;DR App
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