Abstract
TourismShare is a context-aware recommendation platform that allows tourists to share private locations and videos and obtain recommendations regarding potential Points of Interest (POI), including complementary articles and videos. The user experience is enhanced with the addition audio immersion during video playback and automatic recommendation features. The developed system consists of a distributed application comprising a front-end client module (Android application), which provides the user interface and consumes directly external support services, and the back-end server module, which includes the central database and recommendation service. The communication between the client and server modules is implemented by a dedicated application level protocol. The recommendations, which are based on the user context (user position, date and current time, past ratings and user activity level), are provide on request or automatically, whenever POI of great relevance to the user are found. The recommended POI are presented on a map, showing the timetable together with complementary articles and videos. The audio immersion at video playback time takes into account the weather conditions of the video recording and the user activity level.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Baecke, B.: Context-Aware Video-Sharing Android Application. Master’s thesis, Instituto Superior de Engenharia do Porto, Portugal (2014)
Baltrunas, L., Ludwig, B., Peer, S., Ricci, F.: Context-aware places of interest recommendations for mobile users. In: CEUR Worshop Proceedings, vol. 740 (2011)
Bruyneel, K., Malheiro, B.: ErasmusApp: a location-based collaborative system for erasmus students. In: De Strycker, L. (ed.) ECUMICT 2014. Lecture Notes in Electrical Engineering, vol. 302, pp. 35–47. Springer, Heidelberg (2014)
Adomavicius, G., Sankaranarayanan, R., Sen, S., Tuzhilin, A.: Incorporating contextual information in recommender systems using a multidimensional approach. ACM Trans. Inf. Syst. (TOIS) 23(1), 103–145 (2005)
Hong, J.-Y., Suh, E.-H., Kim, S.J.: Context-aware systems: a literature review and classification. Expert Syst. Appl. 36(1), 8509–8522 (2009)
Melville, P., Sindhwani, V.: Recommender systems. In: Sammut, C., Webb, G.I. (eds.) Encyclopedia of Machine Learning, pp. 829–838. Springer, Boston (2010). doi:10.1007/978-0-387-30164-8_705. ISBN 978-0-387-30164-8
Ostuni, V.C., Noia, T.D., Mirizzi, R., Romito, D., Sciascio, E.D.: Cinemappy: a context-aware mobile app for movie recommendations boosted by DBpedia. In: CEUR Workshop Proceedings, vol. 919 (2007)
Otebolaku, A.M., Andrade, M.T.: Context-aware media recommendations for smart devices. J. Ambient Intell. Humanized Comput. 6(1), 13–36 (2015)
Ramalho, J., Chambel, T.: Immersive 360\(^\circ \) mobile video with an emotional perspective. In: Proceedings of ImmersiveMe 2013. ACM (2013)
Ramalho, J., Chambel, T.: Windy sight surfers: sensing and awareness of 360\(^\circ \) immersive videos on the move. In: Proceedings of ImmersiveMe 2013. ACM (2013)
Rey-López, M., Barragáns-Martínez, A.B., Peleteiro, A., Mikic-Fonte, F.A., Burguillo, J.C.: moreTourism: mobile recommendations for tourism. In: Proceedings of ICCE 2011. IEEE (2011)
Verbert, K., Manouselis, N., Ochoa, X., Wolpers, M., Drachsler, H., Bosnic, I., Duval, E.: Context-aware recommender systems for learning: a survey and future challenges. IEEE Trans. Learn. Technol. 5(4), 318–335 (2012)
Viktoratos, I., Tsadiras, A., Bassiliades, N.: Geosocial splis: a rule-based service for context-aware point of interest exploration. In: Challenge+ DC@ RuleML (2014)
Acknowledgements
This work was partially financed by the European Regional Development Fund (ERDF) through the Operational Programme for Competitiveness and Internationalisation (COMPETE Programme), within project «FCOMP-01-0202-FEDER-023151» and project «POCI-01-0145-FEDER-006961», and by national funds through the Fundação para a Ciência e Tecnologia (FCT) - Portuguese Foundation for Science and Technology - as part of project UID/EEA/50014/2013.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Areias, N., Malheiro, B. (2017). TourismShare. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Costanzo, S. (eds) Recent Advances in Information Systems and Technologies. WorldCIST 2017. Advances in Intelligent Systems and Computing, vol 570. Springer, Cham. https://doi.org/10.1007/978-3-319-56538-5_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-56538-5_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-56537-8
Online ISBN: 978-3-319-56538-5
eBook Packages: EngineeringEngineering (R0)