Publicação
Exploring product entity matching in a multi-domain landscape - a density-based clustering approach
| datacite.subject.fos | Ciências Sociais::Economia e Gestão | pt_PT |
| dc.contributor.advisor | Han, Qiwei | |
| dc.contributor.author | Høgheim, Victor Dahl | |
| dc.date.accessioned | 2024-10-30T10:06:53Z | |
| dc.date.available | 2024-10-30T10:06:53Z | |
| dc.date.issued | 2024-01-17 | |
| dc.date.submitted | 2023-12-20 | |
| dc.description.abstract | 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. | pt_PT |
| dc.identifier.tid | 203605705 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10362/174310 | |
| dc.language.iso | eng | pt_PT |
| dc.relation | UID/ECO/00124/2013 | pt_PT |
| dc.subject | Entity matching | pt_PT |
| dc.subject | Record linkage | pt_PT |
| dc.subject | Entity resolution | pt_PT |
| dc.subject | Data linkage | pt_PT |
| dc.subject | E-commerce | pt_PT |
| dc.subject | Machine learning | pt_PT |
| dc.subject | Nlp | pt_PT |
| dc.subject | Hdbscan | pt_PT |
| dc.subject | Clustering | pt_PT |
| dc.title | Exploring product entity matching in a multi-domain landscape - a density-based clustering approach | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | 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. | pt_PT |