Cargando…
SeEn: Sequential enriched datasets for sequence-aware recommendations
The recommendation of items based on the sequential past users’ preferences has evolved in the last few years, mostly due to deep learning approaches, such as BERT4Rec. However, in scientific fields, recommender systems for recommending the next best item are not widely used. The main goal of this w...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352715/ https://www.ncbi.nlm.nih.gov/pubmed/35927282 http://dx.doi.org/10.1038/s41597-022-01598-7 |