Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/174306
Título: Exploring product entity matching in a multi-domain landscape - a siamese recurrent network approach
Autor: Rocha, Miguel de Sousa
Orientador: Han, Qiwei
Palavras-chave: Entity matching
Record linkage
Entity resolution
Data linkage
E-commerce
Machine learning
Nlp
Siamese network
Recurrent network
Data de Defesa: 17-Jan-2024
Resumo: 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.
URI: http://hdl.handle.net/10362/174306
Designação: A Work Project, presented as part of the requirements for the Award of a Master’s degree in Business Analytics from the Nova School of Business and Economics.
Aparece nas colecções:NSBE: Nova SBE - MA Dissertations

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