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Remembering past and predicting future: a hybrid recurrent neural network based recommender system
Traditional recommender systems (RS) assume users’ taste to be static (taste remains same over time) and reactive (a change in taste cannot be predicted and is observed only after it occurs). Further, traditional RS restricts the recommendation process to candidate items generation. This work aims t...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440998/ https://www.ncbi.nlm.nih.gov/pubmed/36090531 http://dx.doi.org/10.1007/s12652-022-04375-x |