And beyond that it's somewhat domain specific as to what the tolerance for misses is. In something like recommending online (non-paid) content, it doesn't matt

And beyond that it's somewhat domain specific as to what the tolerance for misses is. In something like recommending online (non-paid) content, it doesn't matter much. It's worth more to take a gamble on something a user will really like than to give them something you're sure they won't hate. If you get two great hits and three bad hits, it's probably still a net win for the user. On the other hand, if you're say, doing online dating recommendations, you probably want to avoid the polarized cases since you could lose a paid customer with one horrible recommendation.