neural network separates the flops from the blockbusters

and you thought deterministic movie-watching was limited to netflix recommendations...
the neural network can judge a film based on seven key parameters: the "star value" of the cast, the movie's age rating, the time of release against that of competitive movies, the film's genre, the degree of special effects used, whether it is a sequel or not, and the number of screens it is expected to open in. This allowed it to place a movie in one of nine categories, ranging from "flop" (total takings less than $1 million) to "blockbuster" (over $200 million).

from the new scientist

and i'm sure you'll be pleased to learn, hollywood is already checking it out...



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