Mobile Movie Recommendations with Linked Data

Mobile Movie Recommendations with Linked Data

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


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


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


BibTex references

  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          = ""