Happy Movie is a Facebook application where we provide a group recommendation for a group of people that wish to go together to the cinema. Happy Movie main page looks like this.

With this step, we moved our theories for making recommendations to groups which have been proven in simulated environments, to the instantiation of our model in a real-life scenario: the social network Facebook. There are several reasons for this choice. Firstly, Facebook is used by users to create events and invite their friends to join the activity, so our system can help them in the organization of such events. And secondly, the user activity in the social network can be tracked to obtain information about her. We can obtain a lot of information from Facebook without having to bother our users with a lot of questionnaires and we also obtain a lot of feedback in order to improve our methodology.

To use our application, users only have to start their Facebook account and look for HappyMovie in the applications section.

Before any user has access to the movie recommendation results we have to create their individual “recommendation profile” which is necessary for our recommendation method. This profile is based on three different aspects:
personality, individual preferences and trust to other users. To obtain the personality and preferences, users must answer two different tests. The first one is the personality test, where users have to choose a series of characters to whom they feel identified, as shown in next figure.

Once they have answered the personality test, users have to rate a set of movies (at least 20 movies), where they suggest their personal preferences, as shown in Figure 3. Finally, to obtain the last factor, trust, the application reads the information stored in the Facebook personal profile. It calculates the trust that the user has with all the members of the group to be recommended.

When the application has obtained the three factors that identify each user, Users can create events to go to the cinema, invite other friends to those events or erase themselves from them.

When the event is created it looks up for the current movie listing from the selected city and provides a list of 3 movies, which represents the best 3 movies that the recommender has found in the movie listing for the users that have joined the event up to nowg