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 DBpedia, one of the best-known datasets publicly available in the Linked Open Data (LOD) project
Cinemappy: a Context-aware Mobile App for Movie Recommendations boosted by DBpedia / Ostuni, Vito Claudio; Di Noia, Tommaso; Mirizzi, Roberto; Davide, Romito; Di Sciascio, Eugenio. - ELETTRONICO. - 919:(2012), pp. 37-48. (Intervento presentato al convegno International Workshop on Semantic Technologies Meet Recommender Systems and Big Data, SeRSy 2012 tenutosi a Boston, MA nel November 11, 2012).
Cinemappy: a Context-aware Mobile App for Movie Recommendations boosted by DBpedia
Vito Claudio Ostuni;Tommaso Di Noia;Roberto Mirizzi;Eugenio Di Sciascio
2012-01-01
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 DBpedia, one of the best-known datasets publicly available in the Linked Open Data (LOD) projectI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
