The recent spread of the so called Web of Data has made available a vast amount of interconnected data, paving the way to a new generation of ubiquitous applications able to exploit the information encoded in it. In this paper we present Cinemappy, a location-based application that computes contextual movie recommendations. Cinemappy refines the recommendation results of a content-based recommender system by exploiting contextual information related to the current spatial and temporal position of the user. The content-based engine leverages graph information within DBpedia, one of the best-known datasets publicly available in the Linked Open Data (LOD) project.
Mobile movie recommendations with linked data / Ostuni, V; Gentile, G; Di Noia, T; Mirizzi, R; Romito, D; Di Sciascio, E. - STAMPA. - (2013), pp. 400-415. (Intervento presentato al convegno IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference, CD-ARES 2013 tenutosi a Regensburg, Germany nel September 2-6, 2013) [10.1007/978-3-642-40511-2_29].
Mobile movie recommendations with linked data
Ostuni V;Di Noia T;Mirizzi R;Di Sciascio E
2013-01-01
Abstract
The recent spread of the so called Web of Data has made available a vast amount of interconnected data, paving the way to a new generation of ubiquitous applications able to exploit the information encoded in it. In this paper we present Cinemappy, a location-based application that computes contextual movie recommendations. Cinemappy refines the recommendation results of a content-based recommender system by exploiting contextual information related to the current spatial and temporal position of the user. The content-based engine leverages graph information within DBpedia, one of the best-known datasets publicly available in the Linked Open Data (LOD) project.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
