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

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.
978-989-8565-00-6
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11586/139208
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