A hybrid recommender system based on data enrichment on the ontology modelling [version 1; peer review: 2 approved, 1 not approved]
Background: A recommender system captures the user preferences and behaviour to provide a relevant recommendation to the user. In a hybrid model-based recommender system, it requires a pre-trained data model to generate recommendations for a user. Ontology helps to represent the semantic information...
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Autores principales: | Lit-Jie Chew, Su-Cheng Haw, Samini Subramaniam |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
F1000 Research Ltd
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/14202df600cb449989180a953ab740f0 |
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