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.