Yep, I really wish sites would either give me a histogram of raw scores, provide more thoughtful interpretations, or both.
Histograms are a screamingly obvious way of distinguishing "mediocre" from "some good some bad", which is one of the most common needs with things like Amazon products. But beyond that, there's so much more to be done. You can weight or shift scores by reviewer's average, reviewer's average distance from consensus, or a dozen other things. A one-star review from someone who uses Yelp exclusively to call out bad experiences is relevant, but a one-star review from someone who often gives 4-5 is far more interesting.
Maybe the weirdest thing is that a lot of this is done to catch fake/paid reviewers, but it's not extended to providing clearer info overall. Even the fight against fake reviews would be much achievable if it was shifted from a binary "take down or don't" to a more flexible approach to maximizing review value.