I was once playing around with a 3-point ranking system. Think thumbs-down, thumbs-up, and double-thumbs-up. The thumbs up and down would basically function as expected, while the latter would be weighted heavier for the recommendation algorithm. Basically a `recommend me more of this, this is high quality content` action.
There is a general problem with a 5 or 10 star voting system, consider a [malicious] user who only gives a 1 or 10 star vote, thus ending up with more voice than one that votes in the range of 4-6 which would be what the majority of the content deserve. Therein lies another problem too, while the scale would imply 5.5 to be average [out of 1-10 with no 0 option], most people tend to consider 7-7.5 to be average instead, there's a very natural bias on the scale.
This idea isn't actually uncommon however, as platforms tend to work with a thumbs-up, thumbs-down, and a `favorite` action of sorts. Some platforms tend to respect favorites in recommendations and some don't. I have found that YouTube doesn't care all that much about my... let alone favorites, it doesn't even care about my votes. TikTok however did this well, I had downloaded it one day and at the end of the day my feed consisted of neat programming tricks and lessons on color theory. Which kind of revealed something my own prejudice too, as I had expected TikTok to show me the worst content and it was the platform that respected my choice the most. That said these things change a lot so it wouldn't surprise me if the same test shows the opposite results a year from now on.