CampER: An effective framework for privacy-aware deep entity resolution

• Main Authors: GUO, Yuxiang, CHEN, Lu, ZHOU, Zhengjie, ZHENG, Baihua, FANG, Ziquan, ZHANG, Zhikun, MAO, Yuren, GAO, Yunjun
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: entity resolution; representation learning; similarity measurement; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/8106; https://ink.library.smu.edu.sg/context/sis_research/article/9109/viewcontent/3580305.3599266.pdf
• Institution: Singapore Management University

Entity Resolution (ER) is a fundamental problem in data preparation. Standard deep ER methods have achieved state-of-the-art efectiveness, assuming that relations from diferent organizations are centrally stored. However, due to privacy concerns, it can be difcult to centralize data in practice, ren...