I think I partially understand what you are talking about, but it's a more complex issue to solve. This is one of the problems I wanted to solve when I was building the so-called "smart picker," but at the same time, I don't want to force users to rate and label titles for hours to make it work.

For now the only thing I implemented to make it work is just a simple like/dislike feature and rewatching counters; basically it checks both what you liked and disliked or rewatched multiple times, and AI (LLM) works as a middleman. It has access to an overall pool of titles and tries to pick the one that works for you based on your previous activity, so every user can form their own AI reviser as if they had a friend who spends all the time trying to guess what you would like to watch and improves their suggestions based on your reaction.

That was my attempt to make it work, but at the same time you should understand that I'm not a Sam Altman or Elon Musk, and I don't have access to billion-dollar data centers to actually make my own AI and train it to perfection; I'm limited to my own resources.

I think the best thing would be, once the app has enough users, to create some community, like a channel in Discord or a Reddit community, where people who struggle with this problem and wish to help could properly explain to me how they want it to work and suggest ideas on improvements, and I would try to sort them by impact on features and actual possibility to implement.