Mobile Movie Recommendations with Linked Data

Human-Computer Interaction & Knowledge Discovery @ CD-ARES’13 - -2013

Authors

Ostuni Vito Claudio, Gentile Giosia, 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: hci-kdd2013.pdf

DOI

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

BibTex references

@InProceedings{OGDMRD13,
  author       = "Ostuni, Vito Claudio and Gentile, Giosia and Di Noia, Tommaso and Mirizzi, Roberto and Romito, Davide and Di Sciascio, Eugenio",
  title        = "Mobile Movie Recommendations with Linked Data",
  booktitle    = "Human-Computer Interaction \& Knowledge Discovery @ CD-ARES’13",
  series       = "IFIP International Cross Domain Conference and Workshop on Availability, Reliability and Security, CD-ARES 2013",
  year         = "2013",
  publisher    = "Springer",
  url          = "http://sisinflab.poliba.it/Publications/2013/OGDMRD13"

}