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

Georgios Papadimitriou, Andreas Komninos, John Garofalakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)

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.
Original languageEnglish
Title of host publicationPCI '15 Proceedings of the 19th Panhellenic Conference on Informatics
EditorsNikitas N. Karanikolas, Demosthenes Akoumianakis, Mara Nikolaidou, Dimitris Vergados, Michalis Xenos
Place of PublicationAthens, Greece
Pages283-288
Number of pages6
DOIs
Publication statusPublished - 2015

Keywords

  • human centered computing
  • human computer interaction
  • information system
  • Information retrieval
  • document filtering
  • information extraction

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