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Recommendation System for Privacy-Preserving Education Technologies
Considering the priority for personalized and fully customized learning systems, the innovative computational intelligent systems for personalized educational technologies are the timeliest research area. Since the machine learning models reflect the data over which they were trained, data that have...
Autores principales: | Xu, Shasha, Yin, Xiufang |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9034935/ https://www.ncbi.nlm.nih.gov/pubmed/35469207 http://dx.doi.org/10.1155/2022/3502992 |
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