Content recommendation engines are in a state of flux. While they are increasingly essential among a fragmenting content landscape, the underlying technology is becoming increasingly run-of-the-mill. As the finishing touches are put on the modelling for the forthcoming forecast from our research arm, Rethink TV, now seemed like a good time to reflect on what we have learned so far from those at the coal face. Content recommendation engines have certainly climbed down from the pedestal that they were placed on around ten years ago. The technology first emerged around the turn of the millennium, but it took a decade for the industry to fully understand the value of using techniques like collaborative filtering to engage, sustain and retain your…