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Exploring product entity matching in a multi-domain landscape - a density-based clustering approach
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Resumo(s)
This 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.
Descrição
Palavras-chave
Entity matching Record linkage Entity resolution Data linkage E-commerce Machine learning Nlp Hdbscan Clustering