research-article

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

Authors:

Giorgos Papadimitriou,

Andreas Komninos,

John GarofalakisAuthors Info & Claims

PCI '15: Proceedings of the 19th Panhellenic Conference on Informatics

Pages 283 - 288

https://doi.org/10.1145/2801948.2801970

Published: 01 October 2015 Publication History

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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.

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Cited By

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Santamaria-Granados LMendoza-Moreno JRamirez-Gonzalez G(2020)Tourist Recommender Systems Based on Emotion Recognition—A Scientometric ReviewFuture Internet10.3390/fi1301000213:1(2)Online publication date: 24-Dec-2020
https://doi.org/10.3390/fi13010002
Taniguchi SYoshino T(2016)Development of a GeoTour Support System Using a MicroblogCollaboration Technologies and Social Computing10.1007/978-981-10-2618-8_18(220-230)Online publication date: 3-Sep-2016
https://doi.org/10.1007/978-981-10-2618-8_18

Index Terms

An investigation of the suitability of heterogeneous social network data for use in mobile tourist guides
1. Human-centered computing
  1. Human computer interaction (HCI)
2. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction

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Published In

PCI '15: Proceedings of the 19th Panhellenic Conference on Informatics

October 2015

438 pages

ISBN:9781450335515

DOI:10.1145/2801948

Editors:
Karanikolas Nikitas N.
Technological Educational Institute of Athens
,
Akoumianakis Demosthenes
Technological Educational Institute of Crete
,
Nikolaidou Mara
Harokopio University of Athens
,
Vergados Dimitris
University of Piraeus
,
Xenos Michalis
Hellenic Open University
,
General Chairs:
Giaglis George
Athens University of Economics and Business
,
Gritzalis Stefanos
University of the Aegean
,
Merakos Lazaros
University of Athens, Greek Universities Network
,
Tsanakas Panagiotis
National Technical University of Athens, Greek Research & Technology Network
,
Sgouropoulou Cleo
Technological Educational Institute of Athens

© 2015 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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Association for Computing Machinery

New York, NY, United States

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Published: 01 October 2015

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PCI '15

PCI '15: 19th Panhellenic Conference on Informatics

October 1 - 3, 2015

Athens, Greece

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PCI '15 Paper Acceptance Rate 64 of 148 submissions, 43%;

Overall Acceptance Rate 190 of 390 submissions, 49%

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Santamaria-Granados LMendoza-Moreno JRamirez-Gonzalez G(2020)Tourist Recommender Systems Based on Emotion Recognition—A Scientometric ReviewFuture Internet10.3390/fi1301000213:1(2)Online publication date: 24-Dec-2020
https://doi.org/10.3390/fi13010002
Taniguchi SYoshino T(2016)Development of a GeoTour Support System Using a MicroblogCollaboration Technologies and Social Computing10.1007/978-981-10-2618-8_18(220-230)Online publication date: 3-Sep-2016
https://doi.org/10.1007/978-981-10-2618-8_18

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Social network site use, mobile personal talk and social capital among teenagers

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Building social capital with Facebook: Type of network, availability of other media, and social self-efficacy matter#

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