Picture of athlete cycling

Open Access research with a real impact on health...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the Physical Activity for Health Group based within the School of Psychological Sciences & Health. Research here seeks to better understand how and why physical activity improves health, gain a better understanding of the amount, intensity, and type of physical activity needed for health benefits, and evaluate the effect of interventions to promote physical activity.

Explore open research content by Physical Activity for Health...

An investigation of the suitability of heterogeneous social network data for use in mobile tourist guides

Papadimitriou, Georgios and Komninos, Andreas and Garofalakis, John (2015) An investigation of the suitability of heterogeneous social network data for use in mobile tourist guides. In: PCI '15 Proceedings of the 19th Panhellenic Conference on Informatics. ACM, Athens, Greece, pp. 283-288. ISBN 978-1-4503-3551-5

Full text not available in this repository. Request a copy from the Strathclyde author

Abstract

Social Networking Sites (SNS) are used daily by billions of people worldwide to keep them informed about the latest news, to help them interact with other people as well as to provide them with Points of Interest (POIs) to visit. In this paper we examine to what extent the information from SNSs such as likes, tags, check- ins can influence the visitors or locals of a city in choosing venues to visit. Next, we implement an Android application, Social City, for mobile devices, which collects and evaluates the information from Facebook and Foursquare in order to recommend to users venues to visit in the city of Patras, Greece. Finally, we discuss an evaluation of Social City. Our results indicate that the combination of SNS data from multiple social networking sites into a single rating, appears to lead to more efficient recommendations for the users, helping them choose faster and easier and with more confidence about the quality of their choice.