STS: A Context-Aware Mobile Recommender System for Places of Interest

  title={STS: A Context-Aware Mobile Recommender System for Places of Interest},
  author={Matthias Braunhofer and Mehdi Elahi and Francesco Ricci},
  booktitle={UMAP Workshops},
In this demo paper we present a novel context-aware mobile recommender system for places of interest (POIs). Unlike existing systems, which learn users’ preferences solely from their past ratings, it considers also their personality using the Five Factor Model. Personality is acquired by asking users to complete a brief and entertaining questionnaire as part of the registration process, and is then exploited in: (1) an active learning module that actively acquires ratings-in-context for POIs… CONTINUE READING

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  • In 21st Conference on Information and…
  • 2014
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Consumer behaviour in tourism

  • J. Swarbrooke, S. Horner
  • Routledge,
  • 2007
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