
T1 - Social-Aware Spatial Top-k and Skyline Queries Finally, we conduct an extensive evaluation of the proposed schemes using real and synthetic datasets and demonstrate the effectiveness of the proposed approaches.",

In addition, three approaches namely, (1) Social-First, (2) Spatial-First and (3) Hybrid are proposed to efficiently process TkFP and SSSQ queries. In this paper, we propose two new types of queries called Top-k famous places TkFP and Socio-Spatial Skyline Query SSSQ query, which enrich the semantics of theconventional spatial queries by introducing a social relevance component. Such location-based social networks allow people to record and share their location and are a rich source of information which can be exploited to study peoples various attributes and characteristics to provide various Geo-Social (GS) services.

Finally, we conduct an extensive evaluation of the proposed schemes using real and synthetic datasets and demonstrate the effectiveness of the proposed approaches.Ībstract = "The widespread proliferation of location-acquisition techniques and GPS-embedded mobile devices have resulted in the generation of geo-tagged data at unprecedented scale and have essentially enhanced the user experience in location-based services associated with social networks. In this paper, we propose two new types of queries called Top-k famous places TkFP and Socio-Spatial Skyline Query SSSQ query, which enrich the semantics of theĬonventional spatial queries by introducing a social relevance component. Such location-based social networks allow people to record and share their location and are a rich source of information which can be exploited to study people’s various attributes and characteristics to provide various Geo-Social (GS) services.


The widespread proliferation of location-acquisition techniques and GPS-embedded mobile devices have resulted in the generation of geo-tagged data at unprecedented scale and have essentially enhanced the user experience in location-based services associated with social networks.
