Gigaom — “For Online Recommendations, One Size Doesn’t Fit All”

by Darren Vengroff

Online product recommendation systems have been around for almost as long as e-commerce. They all share the common goal of recommending items a particular person is most likely to be interested in at a given time. In aiming for this common goal, however, recommendation systems take a wide variety of different approaches.

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