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Exploring product entity matching in a multi-domain landscape - a siamese recurrent network 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, we evaluate their performance based
on the precision to recall trade-off. An individual model is examined theoretically, emphasizing
its advantages and limitations. We also discuss potential improvements to enhance its
applicability in this field. Our 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 Siamese network Recurrent network