Cinemappy: a Context-aware Mobile App for Movie Recommendations boosted by DBpedia

1st International Workshop on Semantic Technologies meet Recommender Systems & Big Data (SeRSy 2012) - 2012
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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


@InProceedings{ODMRD12,
author = {Vito Claudio Ostuni and Tommaso {Di Noia} and Roberto Mirizzi and Davide Romito and Eugenio {Di Sciascio}},
title = "Cinemappy: a Context-aware Mobile App for Movie
Recommendations boosted by DBpedia",
booktitle = "1st International Workshop on Semantic
Technologies meet Recommender Systems \& Big Data
(SeRSy 2012)",
year = "2012",
publisher = "CEUR-WS",
url = "http://sisinflab.poliba.it/publications/2012/ODMRD
12"
}

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