Earlier quoted context omitted.
today's AI is pretty good It's pretty good at suggesting exactly the same type of movies you've watched before, but not so good at those "but how about something completely different, but something that I'll still like" suggestions, that's where a real human movie buff can help.
This isn't completely true. What you're talking about are called "echo chambers" or "filter bubbles", and there are ways to make sure they don't negatively impact users. Additionally, studies have found that (when A/B testing recommender system vs no recommender system) users create their own, more localized "echo chambers" in absence of a recommender. This is measured by the "diversity" of content consumed, which de…
The recommender in the GP and OP is a video store clerk, that’s probably self selected into that kind of job by their special interest in movies