RecomMetz: A context-aware knowledge-based mobile recommender system for movie showtimes
A novel semantic-based recommender system in the leisure domain is proposed. The context-aware approach is based on location, time and crowd information. Recommended items are viewed as composed items: movie theater+movie+showtime. Good performance results were obtained under cold-start real world scenarios.
knowledge-based recommender systems context-aware systems semantic web ontology reasoning