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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.",

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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.

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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.

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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.















S s s q org