%0 Conference Proceedings
%T Mobile Movie Recommendations with Linked Data
%+ Polytechnic University of Bari / Politecnico di Bari
%A Ostuni, Vito, Claudio
%A Gentile, Giosia
%A Noia, Tommaso, Di
%A Mirizzi, Roberto
%A Romito, Davide
%A Sciascio, Eugenio, Di
%Z Part 1: Cross-Domain Conference and Workshop on Multidisciplinary Research and Practice for Information Systems (CD-ARES 2013)
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 1st Cross-Domain Conference and Workshop on Availability, Reliability, and Security in Information Systems (CD-ARES)
%C Regensburg, Germany
%Y Alfredo Cuzzocrea
%Y Christian Kittl
%Y Dimitris E. Simos
%Y Edgar Weippl
%Y Lida Xu
%I Springer
%3 Availability, Reliability, and Security in Information Systems and HCI
%V LNCS-8127
%P 400-415
%8 2013-09-02
%D 2013
%K Context-aware Recommender Systems
%K DBpedia
%K Linked Data
%K Movie Recommendation
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X 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.
%G English
%2 https://inria.hal.science/hal-01506768/document
%2 https://inria.hal.science/hal-01506768/file/978-3-642-40511-2_29_Chapter.pdf
%L hal-01506768
%U https://inria.hal.science/hal-01506768
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ IFIP-TC8
%~ IFIP-CD-ARES
%~ IFIP-WG8-4
%~ IFIP-WG8-9
%~ IFIP-LNCS-8127