Machine learning systems in production

Mallika Rao locates the hard problems of production recommenders at the boundaries between components

Mallika Rao argues in an InfoQ presentation that production recommenders get hard at the boundaries of a six-stage request loop. Her case rests on years of practice. It shows teams where to look but does not measure how engineering effort should be split.