Discovering socially important locations of social media users

摘要: Abstract Socially important locations are places that frequently visited by social media users in their life. Discovering socially interesting, popular or from a location based network has recently become for recommender systems, targeted advertisement applications, and urban planning, etc. However, discovering is challenging due to the data size variety, spatial temporal dimensions of datasets, need developing computationally efficient approaches, difficulty modeling human behavior. In literature, several studies conducted locations. majority these focused on without considering historical users. They analysis groups each user’s preferences groups. this study, we proposed method interest measures discover consider user (individual’s) preferences. The algorithm was compared with naive alternative using real-life Twitter dataset. results showed outperforms alternative.