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There must be platforms that try to do 'graph-matching' i.e. ask a new user to rate 25-30 popular movies. Compare against scores of other users who have rated the same movies. Identify a cluster of users who rate similarly; our new user is matched with this group. So, for other movies, the user can check the mean/modal score by members in this cluster. Sound familiar?

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You are loosely describing collaborative filtering [1], a very common recommendation technique.

[1] https://en.wikipedia.org/wiki/Collaborative_filtering

Thanks for the tip. Is there any media recommendation engine that implements it?

Note though that I'm not talking about the engine itself recommending movies. It places you within a group and shows you the scoring data of like-minded reviewers.

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