Towards Recommender Systems in Augmented Reality for Tourism

Author:

Kalloori Saikishore,Chalumattu Ribin,Yang Felix,Klingler Severin,Gross Markus

Abstract

AbstractRecent 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.

Publisher

Springer Nature Switzerland

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Avoidance of Scalability Problem in Recommendation System Using Filtering Approch;2023 6th International Conference on Engineering Technology and its Applications (IICETA);2023-07-15

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