Han, QiweiAlmeida, Miguel Barata Serrano Gonçalves de2024-10-292024-10-292024-01-172023-12-20http://hdl.handle.net/10362/174226This paper explores entity matching and its vital role in e-commerce to track products across different domains. Focusing on five diverse approaches, we evaluate their performance based on the precision to recall trade-off. The GNN model is examined theoretically, emphasizing its advantages and limitations. I also discuss potential improvements to enhance its applicability in this field. This 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 linkageData linkageEntity resolutionE-commerceMachine learningNlpGnnmaster thesis203605667