An improved cross-domain sequential recommendation model based on intra-domain and inter-domain contrastive learning
Abstract Cross-domain recommendation aims to integrate data from multiple domains and introduce information from source domains, thereby achieving good recommendations on the target domain. Recently, contrastive learning has been introduced into the cross-domain recommendations and has obtained some...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer
2024-08-01
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| coleção: | Complex & Intelligent Systems |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/s40747-024-01590-1 |
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