HappyMovie: A Facebook Application for Recommending Movies to Groups

The goal of this paper is to show a movie recommender system for groups of people, integrated in the social network Face book through an application called Happy movie. This application tries to mitigate certain limitations in existing group recommender systems, like obtaining the users profile or offering trading methods for users in order to reach a final agreement. The method used to make the group recommendation is based on three important features: personality, social trust and memory of past recommendations. This way we simulate in a more realistic way the argumentation process followed by groups of people when deciding a joint activity.