• DocumentCode
    243673
  • Title

    NaviSoc: A Socially Enhanced Real-Time Navigator

  • Author

    Louloudakis, Nikolaos ; Theodosiadis, Vasileios ; Kondylakis, Haridimos ; Stefanidis, Kostas

  • Author_Institution
    Comput. Sci. Dept., Univ. of Crete, Heraklion, Greece
  • fYear
    2014
  • fDate
    14-14 Dec. 2014
  • Firstpage
    797
  • Lastpage
    803
  • Abstract
    As the usage of social networks becomes more and more ubiquitous and people commute more often today, social streams have become a valuable source for many kinds of applications. For example, the various social streams could be exploited for choosing the optimal path (e.g., The shortest and/or the fastest) to reach a desired destination. To this direction, we present a novel navigation system, called NaviSoc. NaviSoc is a location-based, context-aware recommendation system proposing dynamically and in real-time, the best route according to the user´s context (e.g., Preferences and budget). The system takes advantage of social streams in order to identify unprecedented (e.g., Traffic jam, protest) or social events occurring in a specific place. Then, using this knowledge, the system dynamically readjusts the proposed navigation path. An initial evaluation, performed on the Greek island of Crete, demonstrates the feasibility of our solution and the benefits of our system.
  • Keywords
    computerised navigation; recommender systems; social networking (online); traffic engineering computing; ubiquitous computing; NaviSoc; context-aware recommendation system; location-based recommendation system; navigation path; navigation system; social events; social networks; social streams; socially enhanced real-time navigator; Context; Databases; Global Positioning System; Real-time systems; Servers; Twitter; Social navigation; context awareness; event detection; social networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshop (ICDMW), 2014 IEEE International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4799-4275-6
  • Type

    conf

  • DOI
    10.1109/ICDMW.2014.77
  • Filename
    7022676