Dynamicity in social trends towards trajectory based location recommendation

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. © 2013 Springer-Verlag Berlin Heidelberg.