There is a major barrier to accomplishing the type of user input you describe: explainability. Because these models are trained using statistical methods like

There is a major barrier to accomplishing the type of user input you describe: explainability. Because these models are trained using statistical methods like deep learning, they are fundamentally black-box. On one hand, that makes them difficult / impossible to understand. But on the other hand, it really restricts the capacity to take feedback directly from users on specific recommendations and use that to incrementally modify future recommendations. “Human-in-the-loop” is a great search term to explore this further. Edit: I see promising attempts at solving this in the latest neurosymbolic approaches to AI. Would love to hear about other alternatives as well.