A carregar...
Publicação
Exploring product entity matching in a multi-domain landscape - a graph neural network approach
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 1.84 MB | Adobe PDF |
Orientador(es)
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. 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.
Descrição
Palavras-chave
Entity matching Record linkage Data linkage Entity resolution E-commerce Machine learning Nlp Gnn