Han, QiweiHøgheim, Victor Dahl2024-10-302024-10-302024-01-172023-12-20http://hdl.handle.net/10362/174310This paper explores entity matching and its vital role in e-commerce to track products across different domains. Focusing on five diverse approaches, the study evaluates their performance based on the precision to recall trade-off. The density-based model is then examined more in depth, emphasizing its advantages and limitations. The paper also discusses potential improvements to enhance their applicability in this field. The research aims to provide deeper insights into the effectiveness of various entity matching strategies and their performance under distinct priorities, while considering model architecture and room for improvement.engEntity matchingRecord linkageEntity resolutionData linkageE-commerceMachine learningNlpHdbscanClusteringmaster thesis203605705