Modeling check-in behavior with geographical neighborhood influence of venues

• Main Authors: DOAN, Thanh Nam, LIM, Ee Peng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Common features; Competition effects; Empirical studies; Location-aware; Location-based social networks; Matrix factorizations; Prediction tasks; Specific effects; Databases and Information Systems; Geographic Information Sciences
• Online Access: https://ink.library.smu.edu.sg/sis_research/3957; https://ink.library.smu.edu.sg/context/sis_research/article/4959/viewcontent/ModelingCheck_In_Behavior_Geographical_Neighborhood_Influence_Venues_2017.pdf
• Institution: Singapore Management University

With many users adopting location-based social networks (LBSNs) to share their daily activities, LBSNs become a gold mine for researchers to study human check-in behavior. Modeling such behavior can benefit many useful applications such as urban planning and location-aware recommender systems. Unlik...