Robust bipoly-matching for multi-granular entities

• Main Authors: LEE, Ween Jiann, TKACHENKO, Maksim, LAUW, Hady W.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: entity resolution; matching; one-to-many; poly; bipoly; Databases and Information Systems; Data Science
• Online Access: https://ink.library.smu.edu.sg/sis_research/6434; https://ink.library.smu.edu.sg/context/sis_research/article/7437/viewcontent/icdm21.pdf
• Institution: Singapore Management University

Entity matching across two data sources is a prevalent need in many domains, including e-commerce. Of interest is the scenario where entities have varying granularity, e.g., a coarse product category may match multiple finer categories. Previous work in one-to-many matching generally presumes the `o...