Real Geo-Social Recommender System

  • Panagiotis Symeonidis
  • Dimitrios Ntempos
  • Yannis Manolopoulos
Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)


This chapter presents a real-world recommender system for LBSNs. GeoSocialRec ( allows to test, evaluate and compare different recommendation styles in an online setting, where the users of GeoSocialRec actually receive recommendations during their check-in process. The system’s experimental evaluation checks its performance in terms of accurate recommendations. Moreover, we present a user study for evaluating different styles of explanations that come along with a recommendation to users.


  1. 1.
    M. Brand, Incremental singular value decomposition of uncertain data with missing values, in Proceedings of the 7th European Conference on Computer Vision (ECCV), Copenhagen (2002), pp. 707–720Google Scholar
  2. 2.
    R. Burke, Hybrid recommender systems: survey and experiments. User Model. User-adapt. Interact. 12(4), 331–370 (2002)CrossRefzbMATHGoogle Scholar
  3. 3.
    P.R. Monge, N. Contractor, Theories of Communication Networks (Oxford University Press, Oxford, 2003)Google Scholar
  4. 4.
    A. Papadimitriou, P. Symeonidis, Y. Manolopoulos, Friendlink: link prediction in social networks via bounded local path traversal, in Proceedings of the 3rd Conference on Computational Aspects of Social Networks (CASON), Salamanca (2011), pp. 66–71Google Scholar
  5. 5.
    B. Sarwar, G. Karypis, J. Konstan, J. Riedl, Incremental singular value decomposition algorithms for highly scalable recommender systems, in Proceedings 5th International Conference on Computer and Information Technology (ICCIT), Dhaka (2002), pp. 27–28Google Scholar
  6. 6.
    V. Zheng, B. Cao, Y. Zheng, X. Xie, Q. Yang, Collaborative filtering meets mobile recommendation: a user-centered approach, in Proceedings of the 24th AAAI Conference on Artificial Intelligence (AAAI), Atlanta, GA (2010), pp. 236–241Google Scholar

Copyright information

© The Author(s) 2014

Authors and Affiliations

  • Panagiotis Symeonidis
    • 1
  • Dimitrios Ntempos
    • 2
  • Yannis Manolopoulos
    • 3
  1. 1.Department of Informatics Data Engineering LaboratoryAristotle University of ThessalonikiStavroupoli, ThessalonikiGreece
  2. 2.Kiwe DevelopmentThessalonikiGreece
  3. 3.Department of Informatics Data Engineering LabAristotle University of ThessalonikiStavroupoli, ThessalonikiGreece

Personalised recommendations