Abstract
The pervasiveness of location acquisition technologies has significantly elevated the demands of experience sharing recommendation systems. These systems are highly affected by social dynamicity and trends which are not exploited in existing studies. In this paper, we have proposed a GPS trajectory focused approach that endorses interesting locations. Tree based hierarchical clusters of visited locations are utilized to incorporate the timely changing social trends and personalized preferences of the users. Experimental studies are conducted on real world dataset for verification and validity of the proposed technique.
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Saleem, M.A., Lee, YK., Lee, S. (2013). Dynamicity in Social Trends towards Trajectory Based Location Recommendation. In: Biswas, J., Kobayashi, H., Wong, L., Abdulrazak, B., Mokhtari, M. (eds) Inclusive Society: Health and Wellbeing in the Community, and Care at Home. ICOST 2013. Lecture Notes in Computer Science, vol 7910. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39470-6_11
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DOI: https://doi.org/10.1007/978-3-642-39470-6_11
Publisher Name: Springer, Berlin, Heidelberg
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