With the omnipresence of Web 2.0, lots of sites such as Amazon are trying to use the power of the social recomendations. The idea is very simple and is wide spread: every time you visit a content or you buy a product, the engine will recommend you another things that might interest you. In this way cross sales are promoting. This recomendations are based upon the previous products that people with similar likes have consumed before.
We all know that sometimes these recomendation are far for being interesting for us. This is because the recomendation engine, wich is the background mechanism in charge of providing them.
Last week Technology Review published an interesting article about Digg´s recommendation system. Digg is a social information network in which each member submit his favourite stories and give the chance to others members to “dig” them. The most popular contents are displayed in the Digg´s front page.