Mitigating popularity bias for users and items with fairness-centric adaptive recommendation

• Main Authors: LIU, Zhongzhou, FANG, Yuan, WU, Min
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Fairness; popularity bias; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/8116; https://ink.library.smu.edu.sg/context/sis_research/article/9119/viewcontent/3564286_pvoa.pdf
• Institution: Singapore Management University

Recommendation systems are popular in many domains. Researchers usually focus on the effectiveness of recommendation (e.g., precision) but neglect the popularity bias that may affect the fairness of the recommendation, which is also an important consideration that could influence the benefits of use...