In this paper we present CoRSAR, a mobile recommender system for the tourism domain in Augmented Reality. It allows the users to explore and visit a city and provides recommendation of Point of Interests (POIs) by combining collaborative filtering and context-awareness. In this paper, besides describing the system, we present the results of a study aiming at evaluating if users were more satisfied with the system recommendations when context features were taken into account. Results show that users provided a better evaluation of the system when the context-aware approach was adopted rather then the simple collaborative filtering one.
CoRSAR: A Collaborative, Context-aware Recommender System in the Tourism Domain.
DE CAROLIS, Berardina;NOVIELLI, NICOLE;PIZZUTILO, Sebastiano;
2012-01-01
Abstract
In this paper we present CoRSAR, a mobile recommender system for the tourism domain in Augmented Reality. It allows the users to explore and visit a city and provides recommendation of Point of Interests (POIs) by combining collaborative filtering and context-awareness. In this paper, besides describing the system, we present the results of a study aiming at evaluating if users were more satisfied with the system recommendations when context features were taken into account. Results show that users provided a better evaluation of the system when the context-aware approach was adopted rather then the simple collaborative filtering one.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.