>Then my software will go look for the channel section of each channels to look for other channels there. This has the effect of building a deep tree of differe

>Then my software will go look for the channel section of each channels to look for other channels there. This has the effect of building a deep tree of different channels related to each other through the channel section. The user will only have to specify how many layers of the tree he would like to have so the algorithm can stop there. Your proposed algorithm wouldn't work for me because the majority of the good videos I'm exposed to in education/science come from channels that are not listed in the channel sections of my subscribed list. E.g., here's a channel about machine learning that doesn't list any other channels: https://www.youtube.com/c/YannicKilcher/channels https://www.youtube.com/c/YannicKilcher/channels Here's another machine learning channel that doesn't reference any other AI channels: https://www.youtube.com/c/K%C3%A1rolyZsolnai/channels https://www.youtube.com/c/K%C3%A1rolyZsolnai/channels Neither of the above channels reference each other but both have videos that are relevant to my interests. Because the Youtube algorithm didn't depend on building a "channel tree" from whitelisted channel listings, it can suggest quality videos from both of those channels that your algorithm would miss.