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
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