Design and implementation of the Geo-Context Engine for semantic social media service

The traditional location based service simply includes surrounding environments with the location-awareness technologies and that focuses on nearby users and surrounding mass information. Currently, there are increasing demands and interests for the location-based context publishing with advancements of the smart devices, and the recommended context from the user profiles are a key issue on the personalized Location-based services. Similarly, the user created context can be aggregated into the service data in order to provide personalized recommendations for the social media services as the user created context is a part of the service information including the surrounding physical location. The paper carry out a study of the Geo-Context Engine, which guarantees geographical context management technologies for adapting users' interests by combining the location information and social network structure of users in order to provide personalized context recommendations for the social media services