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Hybrid semantic recommender system for chemical compounds in large-scale datasets
The large, and increasing, number of chemical compounds poses challenges to the exploration of such datasets. In this work, we propose the usage of recommender systems to identify compounds of interest to scientific researchers. Our approach consists of a hybrid recommender model suitable for implic...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7903631/ https://www.ncbi.nlm.nih.gov/pubmed/33622374 http://dx.doi.org/10.1186/s13321-021-00495-2 |