Memory-augmented meta-learning on meta-path for fast adaptation cold-start recommendation
Personalised recommendation is a difficult problem that has received a lot of attention to academia and industry. Because of the sparse user–item interaction, cold-start recommendation has been a particularly difficult problem. Some efforts have been made to solve the cold-start problem by using mod...
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| Principais autores: | , , , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Taylor & Francis Group
2022-12-01
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| Serier: | Connection Science |
| Fag: | |
| Online adgang: | http://dx.doi.org/10.1080/09540091.2021.1996537 |
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