Personal credit profiling via latent user behavior dimensions on social media

• Main Authors: GUO, Guangming, ZHU, Feida, CHEN, Enhong, WU, Le, LIU, Qi, LIU, Yingling, QIU, Minghui
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Social networking; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/3607; https://ink.library.smu.edu.sg/context/sis_research/article/4608/viewcontent/Personal_credit_profiling_via_latent_user_behavior_dimensions_on_social_media.pdf
• Institution: Singapore Management University

Consumer credit scoring and credit risk management have been the core research problem in financial industry for decades. In this paper, we target at inferring this particular user attribute called credit, i.e., whether a user is of the good credit class or not, from online social data. However, exi...