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

Authors

Ostuni Vito Claudio, Di Noia Tommaso, Mirizzi Roberto, Romito Davide, Di Sciascio Eugenio

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) project.

Download: sersy.pdf

DOI

https://doi.org/10.1007/978-3-642-40511-2_29

BibTex references

@InProceedings{ODMRD12,
  author       = "Ostuni, Vito Claudio and Di Noia, Tommaso and Mirizzi, Roberto and Romito, Davide and Di Sciascio, Eugenio",
  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/ODMRD12"

}