Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/4002
Título: Mobile application to provide personalized sightseeing tours
Autor: Anacleto, Ricardo
Figueiredo, Lino
Almeida, Ana
Novais, Paulo
Palavras-chave: Mobile applications
Pervasive computing
Ubiquitous computing
Recommendation system
Sight information provider
Data: 2013
Editora: Elsevier
Relatório da Série N.º: Journal of Network and Computer Applications;
Resumo: Tourist recommendation systems have been growing over the last years, mainly because of the use of mobile devices to get user context. This work discuss some of the most relevant systems on the field and presents PSiS Mobile, which is a mobile recommendation and planning application designed to support a tourist during his vacations. It provides recommendations about points of interest to visit based on tourist preferences and on user and sight context. Also, it suggests a visit planning which can be dynamically adapted based on current user and sight context. This tool works like a journey dairy since it records the tourist moves and tasks to help him remember how the trip was like. To conclude, some field experiences will be presented.
Peer review: yes
URI: http://hdl.handle.net/10400.22/4002
ISSN: 1084-8045
Versão do Editor: http://www.sciencedirect.com/science/article/pii/S1084804513002105
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