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Towards Recommender Systems in Augmented Reality for Tourism

In: Information and Communication Technologies in Tourism 2023

Author

Listed:
  • Saikishore Kalloori

    (Media Technology Center, ETH Zurich)

  • Ribin Chalumattu

    (Media Technology Center, ETH Zurich)

  • Felix Yang

    (Media Technology Center, ETH Zurich)

  • Severin Klingler

    (Media Technology Center, ETH Zurich)

  • Markus Gross

    (Media Technology Center, ETH Zurich)

Abstract

Recent advances in augmented reality have enabled new ways of generating and presenting item recommendations. In tourism, AR applications can, for example, enhance points of interests (POIs) with virtual elements in AR and provide tourists with personalized recommendations for places to visit. In this paper, we present our prototype: a touristic AR application that augments various POIs with digital content and generates context-aware recommendations for POIs in the Niederdorf old town of Zurich, Switzerland. We demonstrate how useful information can be presented to users in an engaging way by combining AR technologies and recommender systems.

Suggested Citation

  • Saikishore Kalloori & Ribin Chalumattu & Felix Yang & Severin Klingler & Markus Gross, 2023. "Towards Recommender Systems in Augmented Reality for Tourism," Springer Proceedings in Business and Economics, in: Berta Ferrer-Rosell & David Massimo & Katerina Berezina (ed.), Information and Communication Technologies in Tourism 2023, pages 267-272, Springer.
  • Handle: RePEc:spr:prbchp:978-3-031-25752-0_29
    DOI: 10.1007/978-3-031-25752-0_29
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