Towards Recommender Systems in Augmented Reality for Tourism

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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.

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APA

Kalloori, S., Chalumattu, R., Yang, F., Klingler, S., & Gross, M. (2023). Towards Recommender Systems in Augmented Reality for Tourism. In Springer Proceedings in Business and Economics (pp. 267–272). Springer Nature. https://doi.org/10.1007/978-3-031-25752-0_29

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