In my experience, even amongst vacation snapshots, the best tend to be of the accidentally artsy variety. I suppose this algorithm would completely fail to recognize the hilarity of the mirroring sphere of a tourist's perfectly bowling-ball-bald head in front of an apse, hovering under the blob of light that is the eye of the pantheon dome on a phone snap. I know I did, (miss it) on the first few times I scrolled through the series.
Generally I feel tempted to file this site under fun with phrase generators, with some ML thrown in to make it slightly more interesting than purely random phrase generator toys. But are there really no use cases for automated checks of aesthetic conventions? Sifting through the data dump of a full day of wedding shots maybe? I know I would be tempted to start with a computer generated shortlist. Mate it with face detection so that you can cluster by subset of attendees (each combination of faces captured must be present at least once in the final set) and... well I guess they already use systems like that, it's 2016.
An entirely unrelated idea in the general area of photography, algorithms and human learning that I still miss is this: an option in manual mode that takes a full auto shot right after the manual one, exposing how good or bad the algorithms are vs the operator. Or do some cameras have something like that? Do manufacturers omit it to not expose deficiencies in their algorithms? Do they omit it to not hurt the feelings of customers when they are worse than auto mode?