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An experimental study on the performance of collaborative filtering based on user reviews for large-scale datasets
Collaborative filtering (CF) approaches generate user recommendations based on user similarities. These similarities are calculated based on the overall (explicit) user ratings. However, in some domains, such ratings may be sparse or unavailable. User reviews can play a significant role in such case...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10495999/ https://www.ncbi.nlm.nih.gov/pubmed/37705634 http://dx.doi.org/10.7717/peerj-cs.1525 |