Youtube’s recommendation engine, at least in my experience, has three modes:
– Suggest the channels of which I’ve already watched the content:
– Suggest me the content I’ve already watched to watch again
– Suggest me the new updates on the playing lists of which I’ve already watched several videos

Unfortunately, while it works very well when I’ve just discovered a new couple of channels and have their content chosen and pushed to me, it fails to deliver the experience of discovery – it’s overfitting my late preferences, locking me in into the videos similar to what I have watched instead of suggesting me new content and new types of content I might be interested in. And seen that I also experience the same problem with the Quora’s recommendation engine (a couple of upvotes and all of my feed is almost exclusively army weapon tech).

I feel like the recommendation engine creators should abandon their blind faith into general algorithms and try to figure out how to create feeds that are interesting and engaging with respect to several categories of interest of their user, as well covering several reasons I might be seeking for a recommendation to what to watch (what is everyone else is watching – have something to discuss with my friends; discover something new; follow up on topics I am already interested in, …)