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A Non-Intrusive Movie Recommendation System

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Tania Farinella , Sonia Bergamaschi, Laura Po, A non-intrusive Movie Recommendation System. In: Meersman, R.; Panetto, H.; Dillon, T.; Rinderle-Ma, S.; Dadam, P.; Zhou, X.; Pearson, S.; Ferscha, A.; …

Tania Farinella , Sonia Bergamaschi, Laura Po, A non-intrusive Movie Recommendation System. In: Meersman, R.; Panetto, H.; Dillon, T.; Rinderle-Ma, S.; Dadam, P.; Zhou, X.; Pearson, S.; Ferscha, A.; Bergamaschi, S.; Cruz, I.F. (Eds.). On the Move to Meaningful Internet Systems: OTM 2012. Roma, 10-14 September 2012, vol. 978-3-642-33614-0, p. 736-751, Heidelberg:Springer, ISBN: 9783642336140


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  • 1. The 11th International Conference on Ontologies, DataBases, and Applications of Semantics (ODBASE 2012) 11-12 Sept 2012, Roma, Italy A Non-intrusive Movie Recommendation System Tania Farinella 1 , Sonia Bergamaschi 2 , and Laura Po 2 1 2 vfree.tv GmbH, München, Germany Department of Engineering “Enzo Ferrari”, University of Modena and Reggio Emilia, Italy
  • 2.    Recommendation systems
  • 3.   collaborative filtering systems Content-based recommendation systems
  • 4.      
  • 5.   system  plot-based recommendation
  • 6. movie selected by the user Local database 
  • 7.   IMDB Movie Collection TMDB Film Collection  Cast&Crew Movie Person IMDB Actor Collection
  • 8.    keyword1 keyword2 … plot a plot b wb,2 plot c The weight of keyword 2 according to plot b
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