Hybrid recommender system via personalized users' context

Abstract

In movie domain, finding the appropriate movie to watch is a challenging task. This paper proposes a recommender system that suggests movies in cinema that fit the user's available time, location, mood and emotions. Conducted experiments for evaluation showed that the proposed method outperforms the other baselines.