Dynamic multi-objective optimization framework with interactive evolution for sequential recommendation
In contrast to traditional recommender systems which usually pay attention to users' general and long-term preferences, sequential recommendation (SR) can model users' dynamic intents based on their behaviour sequences and suggest the next item(s) to them. However, most of existing sequent...
| Principais autores: | , , , , , , |
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| Outros Autores: | |
| Formato: | Journal Article |
| Idioma: | English |
| Publicado em: |
2023
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| Assuntos: | |
| Acesso em linha: | https://hdl.handle.net/10356/170379 |