Unsupervised user identity linkage via factoid embedding

• Main Authors: XIE, Wei, MU, Xin, LEE, Roy Ka Wei, ZHU, Feida, LIM, Ee-peng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: user identity linkage; factoid embedding; network embedding; Databases and Information Systems; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/4258; https://ink.library.smu.edu.sg/context/sis_research/article/5261/viewcontent/24._Dec06_2018___Unsupervised_User_Identity_Linkage_via_Factoid_Embedding__ICDM18_.pdf
• Institution: Singapore Management University

User identity linkage (UIL), the problem of matching user account across multiple online social networks (OSNs), is widely studied and important to many real-world applications. Most existing UIL solutions adopt a supervised or semisupervised approach which generally suffer from scarcity of labeled...