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Robustness of privacy-preserving collaborative recommenders against popularity bias problem
Recommender systems have become increasingly important in today’s digital age, but they are not without their challenges. One of the most significant challenges is that users are not always willing to share their preferences due to privacy concerns, yet they still require decent recommendations. Pri...
| 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/PMC10403214/ https://www.ncbi.nlm.nih.gov/pubmed/37547423 http://dx.doi.org/10.7717/peerj-cs.1438 |