PACELA: A neural framework for user visitation in location-based social networks

• Main Authors: DOAN, Thanh Nam, LIM, Ee-peng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Neural Network; Check-in Prediction; Location-based social networks; User visitation; Databases and Information Systems; Social Media
• Online Access: https://ink.library.smu.edu.sg/sis_research/4080; https://ink.library.smu.edu.sg/context/sis_research/article/5083/viewcontent/p13_doan.pdf
• Institution: Singapore Management University

Check-in prediction using location-based social network data is an important research problem for both academia and industry since an accurate check-in predictive model is useful to many applications, e.g. urban planning, venue recommendation, route suggestion, and context-aware advertising. Intuiti...