Mobile Movie Recommendations with Linked Data

Human-Computer Interaction & Knowledge Discovery @ CD-ARESí13 - 2013
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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.

BibTex references

author = {Vito Claudio Ostuni and Giosia Gentile and Tommaso {Di Noia} and Roberto Mirizzi and Davide Romito and Eugenio {Di Sciascio}},
title = "Mobile Movie Recommendations with Linked Data",
booktitle = "Human-Computer Interaction \& Knowledge Discovery @
series = "IFIP International Cross Domain Conference and Workshop on Availability, Reliability and Security, CD-ARES 2013",
year = "2013",
publisher = "Springer",
url = "

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SisInf Lab - Information Systems Laboratory

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