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Deep Bi-LSTM Networks for Sequential Recommendation
Recent years have seen a surge in approaches that combine deep learning and recommendation systems to capture user preference or item interaction evolution over time. However, the most related work only consider the sequential similarity between the items and neglects the item content feature inform...
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| Publicado no: | Entropy (Basel) |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7517473/ https://ncbi.nlm.nih.gov/pubmed/33286641 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22080870 |
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