Behavior-interior-aware user preference analysis based on social networks

• Main Authors: Wang, Can, Bo, Tao, Zhao, Yun Wei, Chi, Chi-Hung, Lam, Kwok-Yan, Wang, Sen, Shu, Min
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2019
• Subjects: Social Networks; DRNTU::Engineering::Computer science and engineering; Behavior Interiors
• Online Access: https://hdl.handle.net/10356/103679; http://hdl.handle.net/10220/47375
• Institution: Nanyang Technological University

There is a growing trend recently in big data analysis that focuses on behavior interiors, which concern the semantic meanings (e.g., sentiment, controversy, and other state-dependent factors) in explaining the human behaviors from psychology, sociology, cognitive science, and so on, rather than the...