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 |
Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| 2023_24_Fall_53654.pdf | 1,54 MB | Adobe PDF | Ver/Abrir |
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