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Time-Aware Explainable Recommendation via Updating Enabled Online Prediction
There has been growing attention on explainable recommendation that is able to provide high-quality results as well as intuitive explanations. However, most existing studies use offline prediction strategies where recommender systems are trained once while used forever, which ignores the dynamic and...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689638/ https://www.ncbi.nlm.nih.gov/pubmed/36421494 http://dx.doi.org/10.3390/e24111639 |