Personalized recommendation and balancing content generation and content usage on two-sided entertainment platforms

• Main Authors: ZHANG, Hao, GUO, Zhiling, WANG, Mingzheng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Recommender systems; prescriptive analytics; user-generated content; content generation and usage; Artificial Intelligence and Robotics; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/7726
• Institution: Singapore Management University

Online entertainment platforms such as Youtube host a vast amount of user-generated content (UGC). The unique feature of two-sided UGC entertainment platforms is that creators’ content generation and users’ content usage can influence each other. However, traditional recommender systems often emphas...