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Profiling temporal learning interests with time-aware transformers and knowledge graph for online course recommendation
Profiling users’ temporal learning interests is key to online course recommendation. Previous studies mainly profile users’ learning interests by aggregating their historical behaviors with simple fusing strategies, which fails to capture their temporal interest patterns underlying the sequential us...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891746/ http://dx.doi.org/10.1007/s10660-022-09541-z |