Personal credit profiling via latent user behavior dimensions on social media

• المؤلفون الرئيسيون: GUO, Guangming, ZHU, Feida, CHEN, Enhong, WU, Le, LIU, Qi, LIU, Yingling, QIU, Minghui
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2016
• الموضوعات: Social networking; Artificial Intelligence and Robotics; Databases and Information Systems
• الوصول للمادة أونلاين: 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

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...