Structured learning from heterogeneous behavior for social identity linkage

• Main Authors: LIU, Siyuan, WANG, Shuhui, ZHU, Feida
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Social identity linkage; structured Learning; heterogeneous behavior; multi-resolution temporal information matching; Databases and Information Systems; Numerical Analysis and Scientific Computing; Social Media
• Online Access: https://ink.library.smu.edu.sg/sis_research/2524; https://ink.library.smu.edu.sg/context/sis_research/article/3524/viewcontent/Structured_learning_from_heterogeneous_behavior_for_social_identity_linkage.pdf
• Institution: Singapore Management University

Social identity linkage across different social media platforms is of critical importance to business intelligence by gaining from social data a deeper understanding and more accurate profiling of users. In this paper, we propose a solution framework, HYDRA, which consists of three key steps: (I) we...