Tree Model Optimized for Precisely Predicting Location-Based Services from User Behavior Data

<p>A social network is a collection of individuals connected by one or more types of relationships such as friendship shared knowledge and common interest. Location data adds strength to social networks. A space can be specified as relative absolute and symbolic. Location is commonly referred to as three types of geographical representations a point a region and a trend. In recent times localization strategies enhance social networking services and allow users to share their location-related content geo-tagged photos and notes. This is known as location-based social networks (LBSNs). This chapter also includes a brief review on the available techniques. Further the discussion on various methodologies to be applied on different datasets with related existing requirements.</p>