Natural Language Interaction in Personalized EPGs

In this paper, natural language (nl) dialogue is suggested as interaction technique for personalized EPGs to handle a variety of well-known problems. nl interaction addresses the new-user cold-start problem since the necessary user model can be gathered gracefully, without the high initial user effort prominent in traditional recommendation systems. It is argued that nl interaction enhances the user’s freedom of expressing her preferences to increase recommendation accuracy. The conversational interaction style also enhances easeand enjoyment-ofuse. AdFilm, an adaptive movie recommender prototype, is presented to exemplify nl interaction in personalized EPGs.