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A Typicality-Based Recommendation Approach Leveraging Demographic Data

  • Aurélien Moreau
  • Olivier Pivert
  • Grégory Smits
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10333)

Abstract

In this paper, we introduce a new recommendation approach leveraging demographic data. Items are associated with the audience who liked them, and we consider similarity based on audiences. More precisely, recommendations are computed on the basis of the (fuzzy) typical demographic properties (age, sex, occupation, etc.) of the audience associated with every item. Experiments on the MovieLens dataset show that our approach can find predictions that other tested state-of-the-art systems cannot.

Keywords

Recommender systems Demographics Typicality Fuzzy logic 

Notes

Acknowledgments

This work has been partially funded by the French DGE (Direction Générale des Entreprises) under the project ODIN (Open Data INtelligence).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Aurélien Moreau
    • 1
  • Olivier Pivert
    • 1
  • Grégory Smits
    • 1
  1. 1.Irisa – University of Rennes 1, Technopole AnticipaLannion CedexFrance

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